Data Scientist I or II
American Family Insurance
Uses exploratory data analysis to provide innovative solutions to complex problems. Works with business partners to understand what the business needs and issues are to address. Applies knowledge of statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to insights or improvements that have a significant financial impact on the organization. Develops and evaluates predictive models and algorithms that lead to business solutions. Generates and tests hypotheses and analyzes and interprets the results of experiments. Communicates findings and recommendations to leadership and business partners. Supports implementation efforts.
Link:
https://amfam.wd1.myworkdayjobs.com/en-US/Careers/job/AF-WI-Madison-Natl-HQ/Data-Scientist-I_R9887-1
Data Scientist(Analytics, Engineering)
SK hynix
We are recruiting talent from SK hynix’s Data Science organization.
(Data Analyst, Data Engineering)
Focused on Semiconductor manufacturing area,
and many cases of General analysis.
Need to be proficient in Korean and understand it.
[Data Analytics]
- Development of abnormal process detection, failure cause analysis, failure prediction and process optimization algorithm
- Development of Big data preprocessing and analysis algorithm such as equipment sensors collected in real time
- Data analytics based on Machine Learning, Deep Learning
[Data Engineering]
- Development of Big Data based Data Processing and Analysis Model Labrary as Dev role (DevOps)
- Machine Learning / Deep Learning based analysis solution and system development
- Data Engineening based on Big data, GPU
# Professional organization ‘Data Science’
- Supporting capacity enhancement program for acuiring semiconductor knowledge
- Transcrtiption organization composed of various personnel
- Researcg on large-scale data processing / analysis through new and professional methods
For more information, please contact us by e-mail or sms.
jaeyoung.rim@sk.com
Thank you.
Research Scientist — ML, DSP, Audio
Amazon Web Services
Amazon is looking for talented scientists and engineers to help with our audio related initiatives within AWS AI. We are a new team of audio and machine learning experts and growing fast! We are doing research and development in deep learning and signal processing techniques to deliver previously impossible services to our customers. If interested, please get in touch with Umut Isik.
Link:
https://www.amazon.jobs/en/jobs/675882/aws-machine-learning-scientist-audio
Research Data Scientist
Mudano
Join our research centre, where you'll have the freedom to direct a promising research path. We are primarily interested in NLP, Reinforcement Learning, timeseries prediction, active learning and model based approaches.
Looking forward to a conversation with you!
Link:
mudano.com
Data Scientist
American Tire Distributors
Job Description & Summary
American Tire Distributor’s (ATD) Advanced Analytics Center of Excellence (CoE) is looking for a Junior Data Scientist. As a Junior Data Scientist, you will need to have solid programming skills and a strong understanding of data science and relevant machine learning algorithms and packages. You will use your knowledge and/or experience in Data Science methodologies to solve challenging real-world problems as part of a highly dynamic team. You will work in a collaborative environment where you will regularly communicate between senior data scientists, software engineers, and business stakeholders. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for ATD and its customers by accelerating current and new offerings.
Principal Duties and Responsibilities
· Write flexible production-ready code (in R or Python) for different components of the data science process - data ingestion, data manipulation, feature selection & engineering, model training, model validation, and model deployment
· Test hypotheses, explore, and extract useful insights from large data sets
· Build innovative models, tools and applications that apply machine learning and deep learning algorithms at scale
· Review, critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modelling choices, performance and implementation
Minimum Qualifications
· BS, MS, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, Economics, or a related field
· 1-5 years of real world or research experience in data science dependent on educations
· Experience or background in model development on a wide variety of domains
· Knowledge and skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, Keras, TensorFlow and Spark, etc.
· Fluency in SQL, Python or R
Data Scientists/Architects (AI/ML)
Ericsson
Please find the related job descriptions through the link below:
https://jobs.ericsson.com/jobs?location=Montreal&page=1
Link:
https://jobs.ericsson.com/jobs/248742?lang=en-us&previousLocale=en-US
Machine Learning Engineer
Mudano
Primary responsibility productionising and maintaining Machine Learning services. You'll work alongside Research Data Scientists to scale prototypes. We use AWS and you'll have the freedom to define your role.
Link:
mudano.com
Client Facing Data Scientist
Mudano
Confidently explaining Machine Learning to a non-expert audience, implementing ML algorithms, visualisation skills. You'll get a chance to experience a fast paced environment, where you can define your role.
Link:
https://mudano.com/jobs/customer-facing-data-scientist/
Lead Data Scientist- ML,DSP,Healthcare+Neurotech
checkpoint AI
Lead Data Scientist for a fast-growing, high-impact, healthcare AI company (currently in stealth mode). You will work alongside the CEO to lead the development of machine learning algorithms to disrupt clinical management of brain health. Expertise required in deep learning, digital signal processing (time-series data), and making statistical inferences from large data sets. You will manage a small team of engineers to optimize our validated algorithms developed from the world’s largest clinical EEG database, and deploy them in real-time onto our innovative neurotech wearable in a hospital setting (this year!). Publish papers and build products. If your passion is to lead a team in this exciting pursuit, inquire to learn more.
Skills
1)Python, C++, Deep Learning, TensorFlow, Digital Signal Processing, Statistics
2)Javascript, AWS, GCP, Hadoop, SQL, Apache Spark
About checkpoint AI:
We are innovators, neuroscientists, clinicians, engineers. Developing impactful algorithms is our passion. Together, we are building machine learning solutions to modernize healthcare in hospitals and beyond.
Early hire equity, competitive salary, benefits, and impactful AI, all in Boston!
Link:
CheckpointAI.com
Machine Learning Scientist, Emerging Technologies (R61148)
Capital One
As an ML Scientist at Capital One, you’ll be joining a research group that’s part of driving the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and difficulty in their financial lives. Emerging technologies ML scientists partner with both internal teams and university researchers to develop and apply new ways of solving critical business problems through the latest ML approaches. We research, experiment, and prototype implementations that have direct impact on our businesses and customers across a wide range of applications.
In this position, you will be responsible for designing and evaluating new machine learning applications, algorithms and systems, with a strong focus on rapid prototyping and proof-of-concepts. This requires a deep understanding of state-of-the-art techniques in a subfield of machine learning (e.g. deep learning, reinforcement learning, NLP, anomaly detection, time series) and relevant software frameworks. You will use your strong knowledge of scientific principles to suggest and research promising approaches. You will engage in team collaborations and have the ability to work in a demanding team-oriented environment to meet your goals. You are expected to maintain substantial knowledge of state-of-the-art principles and theories, contribute regularly to scientific literature, and maintain strong relationships with key university researchers. You will develop relevant software and hardware technologies with the goal of converting these into products to fuel Capital One’s growth. You may also participate in the development of intellectual property.
Link:
https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/New-York-NY/Machine-Learning-Scientist--Emerging-Tech_R61148
Machine Learning Associate Program
BioMind™
BioMind™ is an award-winning deep technology company focusing on healthcare solutions. We build state-of-the-art Artificial Intelligence (AI) technologies to help hospitals diagnose medical conditions. We are deeply committed to improving the lives of millions of patients globally through deeptech. Staffed by a mission-driven people who love building great products powered by Artificial Intelligence, the team creates predictive applications to help hospitals diagnose medical conditions and manage healthcare-related problems. BioMind AI applications cover a wide spectrum of areas including brain tumours, vascular diseases and pathology.
BioMind™ is the world’s first CE-certified AI application for brain diagnosis. It is a state-of-the-art diagnostic support system that uses deep learning technology to analyse MRI and CT images. It automatically recommends a diagnosis and report for doctors to review – within seconds. BioMind™ is jointly developed with medical specialists and deep learning experts. Its capabilities include image segmentation, prediction, analysis, and 3D reconstruction of abnormalities. The product can analyse neurological disorders such as brain tumours, vascular diseases and stroke-related medical conditions.
We are looking for strong technical individuals who are excited about engineering Artificial Intelliegence applications, love programming, solves tough problems and fascinated by Maths and Physics.
Do email us at hr@biomind.ai or drop by our Booth No. 819.
You may also visit our website https://biomind.ai
Link:
https://biomind.ai
ML Engineer / Software Engineer — ML, DSP, Audio
Amazon Web Services
Amazon is looking for talented engineers to help with our audio related initiatives within AWS AI. We are a new team of audio and machine learning experts and growing fast! We are doing research and development in deep learning and signal processing techniques to deliver previously impossible services to our customers. The team will be working on engineering challenges coming from the scale of data-sets, compute-needs, as well as deployment. If interested, please get in touch with Umut Isik.
Machine Learning Research Scientist
Pfizer R&D
The Machine Learning (ML) group within Computational Sciences seeks exceptional researchers in the areas of machine learning (probabilistic models, deep learning, and reinforcement learning) and related fields.
We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research, both theoretical and applied, including access to heterogeneous data sources and close links to top academic institutions around the world as well as internal partners and research units. Our mission is to develop and apply methods to solve difficult, yet tractable, problems in the discovery, design, and development of therapeutic agents. As a research scientist, you will have the flexibility to work on impactful, real-world problems in the life sciences including large-scale gene expression data to augmentation of libraries through de novo molecule generation. Researchers will primarily focus on the deep learning subfield of machine learning but should be broadly interested in methods capable of efficient and effective feature learning that can help drive and sharpen the research questions we study.
Fundamentally, our research goals allow us to collaborate closely with and–contribute uniquely to–many different project teams across the company.
Participate in cutting edge research in machine learning and machine learning applications in drug discovery, design, and development. Specific subfields of research may include: deep generative models, approximate inference, and reinforcement learning.
Machine Learning Research Scientist
Mudano
Join our research centre, where you'll have the freedom to direct a promising research path. We are primarily interested in NLP, Reinforcement Learning, Timeseries prediction, recommendation engines, Active Learning and model based approaches.
Looking forward to a conversation with you!
Link:
mudano.com
Ai Engineer
Shell
Build next generation Ai platform to train deep learning for Vision, NLP and Deep RL Models for Retail, Assets and Sub Surface.
Skills required
Apache Spark
Scala
Java
Python
TensorFlow
Pytorch
If you are interested, let us catch up at the conference.
Postdoctoral position in Computer Vision & Machine Learning - BC 75470
PAVIS - Istituto Italiano di Tecnologia
The Pattern Analysis and Computer Vision Research Line (PAVIS) at IIT in Genova is looking for a highly qualified post doc with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding, and prediction. Former multidisciplinary experience is an added value which will be duly considered.
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features.
In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on action/activity recognition and scene understanding from video sequences and other sensory modalities.
In particular, the following topics are of interest:
Analysis of static and dynamic scenes.
Recognition (objects, scenes, actions, events, etc.) and reconstruction.
Behavior Analysis and Activity Recognition (individuals, groups, crowd).
Prediction of intentions.
Domain Adaptation.
Multimodal data analysis
Zero-shot Learning
Candidates to this position have a Ph.D. in Computer Vision, Machine Learning, Pattern Recognition or related areas. Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Please send your completed application forms by December 31, 2018. The application must include: a curriculum listing all publications, a research statement describing your previous research experience and the name of 2 referees by email to pavis@iit.it quoting PAVIS-PD 75470 as the reference number.
V. Murino is at NeurIPS, feel free to contact him for an informal chat or having more info.
Link:
pavis.iit.it
Deep Learning Scientist
Plumerai
We are looking for talented people to join our effort in enabling robots and drones to use deep learning locally and in real time. We are developing new training algorithms for Binarized Neural Networks and are designing custom chips to run these algorithms efficiently.
You will work in a fast and smart team researching, inventing and implementing both new and known algorithms for training efficient deep learning models. We tackle hard problems that have not been solved yet and this requires both theoretical creativity and technical intuition. We actively support academic publications from our team as well as contributions to the open source community. You will be exploring the behavior of our models on a wide range of everyday robot applications from object detection to speech synthesis, from depth estimation to SLAM. Besides practical results you will develop theoretical guidance for Binarized Neural Networks. You will work in close collaboration with our chip designers to discuss the implications of your algorithms on their work. This is how we can collectively push our hardware to its maximal performance.
Feel free to contact me for any questions or if you're interested!
Data Scientist
L’Oréal
Purpose of the role :
As a data scientist specialized in machine learning and deep learning, you will join our Digital Intelligence and Data Innovation team at the heart of Global Digital organization. The role of the team is to experiment with data science to enhance our marketing capabilities and business decision-making. The team has 2 years record of accomplishing tasks in Machine Learning and AI. The work in centered around content ideation, production and distribution.
Main missions
· Develop, rigorously test and implement artificial intelligence models in response to our objectives with regards of real-world constraints and objectives
· Find, extract, retrieve, organize and structure data, coming from heterogeneous sources
· Design and organize large-scale data annotation exercises (e.g. MTurk)
· Build POCs and go to production with your models
· Push your models into production
· Promote AI within the company by successfully building models and applying them to business issues
· Communicate with business teams in order to contribute to digital transformation
Profile
· At least 1-3 years of experience in the field of Machine Learning or related
· You have a Master Degree or PhD in one of the following fields: machine learning, computer science, statistics, probability, optimization, linear algebra
· You have a hands-on experience with machine learning, and deep learning in particular (CNN, RNN, GRU, LSTM, Auto-Encoder, GAN, etc..). Experience in Reinforcement Learning is a plus (Deep Q-Learning, Bandits algorithms...)
· You can manage to expose and deploy your work using DevOps tools (e.g. Jenkins, containers and HTTP services)
· You enjoy reading research papers, technical blogs and trying new AI algorithms
· You have good communication skills and understand where AI could benefit to the company
Required skills
· Good knowledge of Python, an
Link:
https://fr.linkedin.com/jobs/view/data-scientist-at-l-or%C3%A9al-909288799
Machine Learning Researcher
Borealis AI
Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence.
As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. Working in our lab will grant unique access to massive datasets with the tools and resources necessary to build game-changing statistical models.
Interested in this opportunity? Email your resume to mi.research@borealisai.com.
Link:
Www.borealisai.com
Applied Research Scientist - AI Residency Program
Royal Dutch Shell
The Shell AI Residency Programme is a 2-year, full-time, immersive programme designed to work on projects across Shell’s value chain.
The Programme offers Residents the opportunity to collaborate with like-minded innovators, experts and mentors, while deepening technical expertise across the spectrum of AI.
A unique advantage of this Programme is the ability to take ideas from concept to deployment, addressing real-world challenges and rotating across diverse projects in: exploration, wells, quant trading, retail and new energies to become a well rounded "regularised" applied AI innovator.
The Residency Programme is for those who are passionate about developing solutions in the energy domain with potential of unlocking more, cleaner energy for all.
To apply for the Programme, you must have a PhD in the fields of computer science, mathematics, physics, or electrical engineering; a Bachelors’ or Masters’ with 3 years of experience in the above fields; or equivalent experience in STEM, or other non-traditional fields.
Salary: $140k/yr + sign on + relocation + completion bonus.
Visa sponsership available.
Link:
www.shell.com/ai
Research Scientist/Engineer/Internship
KC
ML2 is looking for new members! If interested, please contact me via: chan.y.park@kc-ml2.com
About ML2
* ML2 is an independent research organization within a semiconductor and display solutions company KC.
* ML2 focuses on machine learning research with a long-term vision, looking beyond pushing the envelope of the current state of the art and identifying topics that will open new fields of research and development.
* ML2 works based on the following principles:
* We value the independence of each researcher.
* We actively seek collaborations with other research group.
* We encourage outreach activities such as contributing open-source softwares, organizing meetups, and presenting talks.
* More info on ML2 at: https://www.kc-ml2.com/
Open roles and requirements
* For all roles
* Communication skill
* Korean for everyday usage
* English for academic and business conversation, reading, and writing.
* Research Scientist
* Academic research experience in a quantitative field in the form of peer-reviewed journal publications.
* Good understanding of classical and modern machine learning models.
* Comfortable with formulating mathematical ideas into a programming language.
* Research Engineer
* Experience in large code base open source projects.
* Track record of developing machine learning models using machine learning frameworks such as TensorFlow or PyTorch.
* Research Internship
* Experience in academic research.
* Experience in implementing machine learning models.
Especially interested in if you have an expertise in any of
* system programming
* compiler engineering
* graph theory
* hardware design
* computer security
Link:
https://www.kc-ml2.com/
Machine Learning Engineer - Ads Prediction (Revenue Science)
Twitter
In Twitter, we serve billions of advertising impressions and generate millions of dollars in revenue per day. Behind every ad, our ads ranking team, which operates one of the largest ML services at Twitter, evaluates at least thousands of candidates behind the scene. Our mission is to make Twitter ads as relevant in the moment as organic content on Twitter.
What you will do:
In order to realize our mission, we need your help to design and build state-of-the-art machine learning models and large-scale systems to predict users’ engagement/conversion on different ads as accurately as possible. Although you will work on cutting-edge problems, this position is not a research position. You will participate in the engineering life-cycle at Twitter, including writing production code, conducting code reviews and working alongside our infrastructure teams. You will be equally comfortable doing incremental quality work (e.g. feature engineering and model optimization) and also building brand new systems (e.g. parameter server) to enable future quality
Requirements:
2+ years industry experience with a Bachelors, MS or PhD in computer science, data mining, machine learning, information retrieval, recommendation systems, math, engineering, operations research, or other quantitative discipline; or equivalent work experience
Fluent in one or more object oriented languages like Java, Scala, C#, C++
Experience with Hadoop, Pig or other MapReduce-based architectures
Knowledgeable of core CS concepts such as: common data structures and algorithms.
Comfortable conducting design and code reviews.
Experienced in operating Linux-based systems.
Passionate about working with large unstructured and structured data sets
Link:
https://careers.twitter.com/en/work-for-twitter/201810/machine-learning-engineer-ads-prediction-revenue-science-0.html
Machine Learning Infrastructure Engineer - Ads Prediction (Revenue Science)
Twitter
Who we are:
In Twitter, we serve billions of ad impressions and generate millions of dollars in revenue per day. Behind every ad, our ads prediction system, which is one of the largest ML services at Twitter, evaluates at least thousands of candidates behind the scene. Our mission is to make Twitter ads as relevant in the moment as organic content on Twitter.
What you will do:
In order to realize our mission, we need your help to design and build state-of-the-art large-scale machine learning systems and infrastructure to predict users’ engagement/conversion on different ads as accurately as possible. Although you will work on cutting-edge problems, this position is not a research position. You will participate in the engineering life-cycle at Twitter, including writing production code, conducting code reviews and working with our ML Modelers and alongside other infrastructure teams. You will be equally comfortable doing incremental quality work and building brand new systems to enable future quality improvements.
Who you are:
You’re a back-end software engineer who wants to work on exciting algorithmic and deep infrastructure issues in ML environments.
Requirements:
3+ years relevant experience and MS or PhD in computer science
Fluent in one or more object oriented languages like Java, Scala, C#, C++
Experience with Hadoop, Pig or other MapReduce-based architectures
Knowledgeable of core CS concepts such as: common data structures and algorithms
Comfortable conducting design and code reviews
Experienced in operating Linux-based systems
Passionate about working with large unstructured and structured data sets
Link:
https://careers.twitter.com/en/work-for-twitter/201810/machine-learning-infrastructure-engineer-ads-prediction-revenue.html
Machine Learning Engineer
Standard Cognition
At Standard Cognition, we're building the future of retail and changing the way the world shops. We're creating autonomous checkout, a system that lets shoppers grab what they want from a store and be charged automatically. Our goal is to be the standard way people check out across the world.
To do this, we're building a real time vision based scene comprehension engine in order to provide customers with a seamless checkout experience. We're looking for awesome Machine Learning Engineers to take ownership of individual models in this engine. We build and experiment with a huge diversity of different approaches, and love people who aren't afraid to jump around. If you're background is in NLP, speech, or RL, that's great! We love researchers and engineers with all kinds of backgrounds, and find that a diversity of perspective helps the problem solving process.
You'll be iterating on new model architectures to handle complex shopping scenarios as well as identifying and addressing deficiencies in our datasets and identifying key metrics to optimize in order to maximize the overall accuracy for our customers.
A successful Machine Learning Engineer will iterate on lots of different approaches, and be able to identify the most promising avenues for further exploration. If this sounds like fun, we'd love to hear from you!
Link:
https://boards.greenhouse.io/standardcognition/jobs/4118489002
Perception Researcher
Standard Cognition
At Standard Cognition, we're building the future of retail and changing the way the world shops. We're creating autonomous checkout, a system that lets shoppers grab what they want from a store and be charged automatically. Our goal is to be the standard way people check out across the world.
We're looking for someone strong in mathematics and passionate about software development to help perfect our tracking system. You would be working in a small team to develop cutting-edge algorithms and software for tracking people and products with large networks of cameras in 50,000+ square foot stores. By combining techniques from machine learning, statistics, dynamical systems, and distributed computing, we're building one of the most sophisticated visual tracking systems in the world. If this sounds like fun, we'd love to hear from you!
Link:
https://boards.greenhouse.io/standardcognition/jobs/4118483002
AI Scientist
Electronic Arts (EA)
EA Digital Platform (EADP) powers EA’s player network by providing reusable capabilities that game teams can integrate into their games allowing them to focus on creating amazing player experiences. An integral part of EADP Data & AI, the AI Applications team focuses on core ML/AI research problems while leveraging the large-scale data processing infrastructure which manages telemetry, engagement and many more player insight data from all of EA’s games (e.g. FIFA, Battlefield, Madden, Sims, Need for Speed, Star Wars). Some of the projects we are currently working on include:
- Audio content generation: creating audio content while embedding emotions and prosody;
- World authoring: facilitating and automating the creation of huge worlds where thousands of players will meet and interact;
- Non-player character creation: creating AI agent that can play the game with a certain style, can imitate a real world character, can learn how to navigate in a map, etc;
-Multi-agent systems: Creating a platform for thousands of artificial agents to interact in cooperation/conflict in a large-scale game generating meaningful data for playtesting.
Engineering challenges aside, these problems are largely unsolved and open even within the research community. We have several full-time openings for exceptional AI Scientists to join us and help solve these problems. An ideal candidate would hold a PhD in computer science (or related fields), a strong research track record with publications at top tier ML/AI journals and conferences, experience building machine learning systems, and the ability to own and manage entire projects (from ideation and initial interactions with game studios to execution and evaluation).
To apply, send your resume directly to me at abeirami@ea.com.
Ahmad Beirami, Ph.D.
Research Dcientist, EA Digital Platform -Data & AI
Email: abeirami@ea.com
LinkedIn: https://www.linkedin.com/in/ahmad-beirami-97001962
Web: https://sites.google.com/view/beirami
Computer Vision Researcher: Autonomous Driving
Algolux
// Please apply at the link. Contact me if you'd like to talk
// about the job at the conference.
As a researcher at Algolux, you have expertise and the ability to make novel research contributions in computer vision, imaging and machine learning.
You will be a key part of a team that is building breakthrough end-to-end perception stacks for autonomous vehicles. We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild. The technology developed at Algolux is deployed at scale in vehicles and camera solutions.
We believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts. As part of this team we expect novel ideas to be published in major publications from time to time.
Responsibilities:
- Develop and evaluate deep learning models in the wild.
- Don't be satistified with solving toy problems. Solve the real problem in the wild.
- Build compelling demos and illustrative results.
- Work closely with an established engineering team
Link:
https://algolux.workable.com/j/4AA413875A
Data scientist
Nubank
Nubank is the leading fintech in Latin America. Using bleeding-edge technology, design and data. Nubank is committing to fighting complexity and empowering Brazilians to take control of their finances. Over 16 millions people have applied for its mobile-controlled credit card since its launch on September 2014.
We are looking for world-class data scientists (and modelers, statisticians, AI practitioners, machine learning engineers) to build models that predict responsiveness to marketing, credit risk, fraud likelihood and many other types of customer behavior to get us there.
At Nubank, we don't shy away from using the latest machine learning algorithms and techniques; in fact, we encourage them. We have rich dataset (texts, images, graphs and much more as well as more traditional sources of financial data)
We also have an almost endless set of models to build, including everything from credit scoring to text tagging.
We are excited to meet people with various areas of expertise - there is no single ideal profile. We believe there is room for very diverse skill sets to add value.
For the right candidate, Nubank will happily sponsor the candidate for a working visa.
Please apply directly here: https://nubank.workable.com
and tell us that you were at NeurIPS.
Also let's have lunch, dinner, a drink. Just PM me (or I'll PM you)
https://nubank.workable.com
Link:
https://nubank.workable.com
Research Scientist (Vision Technologies)
Sensory Inc.
As a Research Scientist within Sensory’s Vision Technologies team, you will bring your intelligence and drive to our patented and award-winning speech and vision products.
Sensory (www.sensory.com) has been a leader in providing speech recognition technologies for many of the top consumer electronics manufacturers. We recently established the Vision Technologies team to create innovative new products that combine Sensory’s speech technology with world-class computer vision, and now our TrulySecure face recognition product is rapidly gaining market share. That’s where you come in. Join our team of outstanding researchers and developers located in Boulder CO, and you’ll have the opportunity to work on cutting-edge mobile and desktop technology, and help further drive the success of our vision products.
Performance Objectives
Here’s what you’ll do when you join the Sensory Vision team:
Extend and improve our existing algorithms: help us remain at the cutting edge of deep learning research, as we continue to improve the accuracy, robustness and ease of use of our face recognition and speech technologies.
Create new vision-based biometrics: help us deepen the connections between voice and face by looking at things like lip tracking, or exploring 3-D face recognition.
Extend our technologies: take us beyond biometrics or even computer vision, in areas such as demographics, lip reading, gesture recognition, and sensor fusion. Bring your ideas on what can be done to leverage our existing technology and then make those ideas real, whether it involves taking existing algorithms off the shelf or inventing new ones in house.
Provide technology leadership: we’re innovators – that’s what makes us successful. We need someone who is going to bring vision and technical knowledge to help us maintain our industry leadership. You will need to keep track of new developments in machine learning and computer vision, and bring them to bear on our problems.
Link:
https://www.sensory.com/company/employment/
Senior Research Associate in Data Science of the Natural Environment
Lancaster University
Applications are invited for a four-year post-doctoral research position to develop cutting-edge machine learning algorithms and decision-making tools to address key environmental science challenges. This position is part of the large-scale £2.6M EPSRC-funded grant “Data Science for the Natural Environment (DSNE)” (http://www.lancaster.ac.uk/dsne).
This is an exciting opportunity to work as part of a multi-disciplinary team of researchers consisting of computer scientists, statisticians, environmental scientists and stakeholder organisations, working together to deliver methodological innovation in data science to tackle grand challenges around environmental change. This is a prestigious and high profile research programme targeting a paradigm shift in the role of data in environmental science and leading to long-term impact in decision making.
The DSNE research programme comprises three core methodological themes (integrated statistical modelling, machine learning and decision-making, and virtual lab development). As a DSNE researcher, you will develop novel methodological advances under the machine learning and decision-making theme, with an opportunity to deliver real-world impact through applying your research in the grand challenge theme areas (ice sheet melt prediction, air quality modelling and land-use management). For this position, we are particularly interested in appointing someone with an interest in areas such as Bayesian optimisation, Gaussian processes, active learning and probabilistic modelling, who is keen to apply their work in the context of environmental models to facilitate decision-making by both environmental scientists and policymakers.
This position offers a high degree of independence where the postdoctoral researcher can follow their own research direction and work closely with other DSNE researchers (over 20 academic staff, 4 postdocs and 5 PhD students). Experience of working with environmental data advantageous but not essential.
Link:
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2497
Machine Learning Scientist
Cerebras Systems
This is an applied research and engineering position with focus on machine learning algorithm development and distributed computation. As Machine Learning Scientist, you will work with state-of-the-art research and commercial machine learning algorithms and apply them to our core technology. Representative work:
Understand and be able to distill, explain state-of-the-art research in machine learning.
Develop and implement software for novel machine learning techniques on our system.
Decompose machine learning algorithms/models into their computational characteristics.
Conduct and report on detailed analysis of machine learning models as executed by the Cerebras platform.
Algorithm implementation in the areas of graph transforms, linear algebra kernels, and combinatorial optimization.
Compiler Engineer
Cerebras Systems
Cerebras is developing a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.
We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for the deep learning workload.
Cerebras is building a team of exceptional people to work together on big problems. Join us!
The Role
As a member of our Compiler team, you will work with leaders from industry and academia to develop entirely new solutions for the toughest problems in AI compute.
As deep neural network architectures evolve, they are becoming enormously parallel, and distributed. Compilers are needed to optimize the mappings of computation graphs to compute nodes. In this position, you will build the tools that generate distributed memory code from evolving intermediate representations.
You will:
Design and devise graph semantics, intermediate representations, and abstraction layers between high-level definitions (like TensorFlow’s XLA) and low-level distributed code.
Use state-of-the-art parallelization and partitioning techniques to automate generation, exploiting hand-written distributed kernels.
Identify and implement novel program analysis and optimization techniques.
Employ and extend state of the art program analysis methods such as the Integer Set Library.
Cerebras is hiring full-time team members as well as interns.
Artificial Intelligence Software Engineer (multiple levels)
Boeing Research & Technology
The Boeing Company is seeking talented and highly motivated artificial intelligence professionals with software deployment experience to assist in the design, development, and deployment of intelligent
systems, autonomous systems, and other advanced AI systems. The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing. The candidate must be a “US Person” which includes US Citizens, lawful permanent residents, refugees, or asylees.
For the full job descriptions, see the following links.
Software Engineer level 3:
http://j.rfer.us/BOEBOPwPy
Software Engineer level 4:
http://j.rfer.us/BOEgDZwPz
Software Engineer level 5:
http://j.rfer.us/BOE1K0wQ0
Feel free to contact me if you have any question.
Machine Learning Research Engineer - Cortex Applied Machine Learning
Twitter
Who we are:
We are a community of Machine Learning Researchers and Engineers, working to improve Twitter through applications of ML in product areas such as recommendations, safety, abuse, ads. We operate at scale whilst ensuring fair and ethical use of our models and data.
We work as a team of specialists embedded within product teams, looking to apply the expertise of the individuals, and working with product teams to improve our products and unlock new capabilities.
What you will do:
Apply your research and engineering skills to either improve existing solutions, unlock new directions or provide entirely new solutions within Twitter. You will work closely with live production systems and product teams, and learn to deliver ML solutions at scale within the Twitter tech stack, whilst encouraging best practices for ML across the company.
Who you are:
You are interested in a range of applications of ML which could stem from media understanding to recommendation systems. You are passionate about the way we develop state-of-the-art technologies, how we apply them to products, and enjoy the challenge of overcoming real-world constraints. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role.
Requirements:
Masters’ or PhD in a Computer Science or Machine Learning related degree; or equivalent work experience in the field
Good theoretical grounding in core Machine Learning concepts and techniques
Ability to perform literature reviews and provide feedback on state-of-the-art solutions and how they may fit to different operating constraints
Practitioner of modern software development practices - e.g. TDD, CI, source control
Experienced with modern ML techniques - particularly deep learning models and architectures - such as CNNs, RNNs, LSTMs
1+ years experience with one or more DL software frameworks such as Tensorflow, PyTorch
3+ years software engineering experience
Link:
https://careers.twitter.com/en/work-for-twitter/201808/machine-learning-research-engineer-cortex-applied-machine0.html
Staff ML Engineer - Applied Modeling - Cortex
Twitter
Who We Are:
Twitter is your window into What's Happening in the world, live! As rich content continues to drive conversation, connection, and engagement on Twitter, product teams are focussed on surfacing a broad selection of compelling content to the user based on their interests.
Our team, Cortex, is building technologies that enable product teams to create that experience. We are a team of ML engineers and researchers, trying to push boundaries of ML and personalization at Twitter. We work closely with ML product teams across the company (timelines, ads, recommendations, safety etc) to define, design and develop the core components that would enable them to deliver the desired experience to Twitter users.
Example projects include:
Approximate Nearest Neighbor algorithms and related infrastructure at Twitter scale
Embeddings models and algorithms
Embedding infrastructure that allows teams to easily train, consume and share embeddings.
What You'll Do:
Apply your research and engineering skills to either improve existing solutions, unlock new directions or provide entirely new ML solutions within Twitter. You will work closely with live production systems and product teams, and learn to deliver ML solutions at scale within the Twitter tech stack, whilst encouraging best practices for ML across the company.
Who You Are:
You have a passion for machine learning.
You thrive on working in concert with other smart people, including from distributed offices.
You communicate fluidly, at the level of your audience, and seek to understand and being understood.
You have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution.
You are adamant about studying customer needs and enabling their success through our products.
You take pride in polishing and supporting our products.
You welcome feedback on are constantly looking for ways to improve yourself.
You can provide thought leadership in ML techniques and best practices
Link:
https://careers.twitter.com/en/work-for-twitter/201811/staff-ml-engineer-applied-modeling-cortex2.html
Robot Perception Engineer
Ouster, Inc
Find us on Sunday Dec. 2, at table #3, in front of Microsoft/Facebook.
Come Build Robots!
At Ouster, we're developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classification. Our team is composed of engineers that wear many hats and enjoy building robots that cope with the messiness of the real world. All of us push code, some of us build hardware, and none of us wants to wait another decade for cars and drones to be driving themselves.
Expert in real-time robot perception using a combination of cameras and other sensors. The candidate will have worked with RGB, RGBD or depth only point cloud segmentation and object detection and tracking. Must have a strong theoretical background including fluency with linear algebra and bayesian statistics. Ideally, the candidate would have been a part of an autonomous vehicle team with experience in real time perception and has made novel contributions in the fields of segmentation and detection.
Skills
Strong C++ skills
Strong theoretical background in linear algebra and statistics
Experience working on real time robot perception including segmentation, detection and tracking
BONUS: Basic understanding of firmware
BONUS: Knowledge of GPU processing (CUDA)
BONUS: Experience with modern ML techniques
Link:
ouster.io
Software Engineer - 3D Mapping
Ouster, Inc
Find us on Sunday Dec. 2, at table #3, in front of Microsoft/Facebook!
At Ouster, we're developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classification. Our team is composed of engineers that wear many hats and enjoy building robots that cope with the messiness of the real world.
The 3D mapping engineer will be responsible for developing algorithms to create a large scale, globally consistent 3D map from lidar point clouds and SLAM trajectories from multiple vehicles by fusing and aligning them. In addition, the 3D mapping engineer may tackle challenges such as automatically denoising and refining maps, removing dynamic objects, dealing with gaps in data, and removing bad data due to SLAM failures.
The ideal candidate will have had enough coding experience to build test and validation procedures for production software; write modular code that could be unit-tested before deployment; and develop tools to evaluate map quality. As a bonus, the candidate should be able to break down the problem into subproblems of constant complexity suitable for distributed processing in the cloud.
Responsibilities:
Develop algorithms for large-scale lidar mapping such as loop-closure and non-rigid point cloud registration
Develop algorithms for refining and denoising 3D maps and removing dynamic objects
Develop evaluation tools for ensuring the quality of large scale 3D maps
Experience & Skills:
Strong C++ skills
Strong algorithmic aptitude
Experience with large scale pose graph optimization, bundle adjustment, or other sparse nonlinear optimization problems
Strong linear algebra skills
Intuition for 3D transformations
BONUS: Experience with containerization
Preferred Skills:
Knowledge of C++14
Knowledge of latest in SLAM
Link:
ouster.io
Sr. ML Platform Engineer - Cortex
Twitter
Twitter data is the fuel for machine learning. Our ML Platform Engineers build:
Systems to efficiently share, organize, discover features for ML models.
Easy-to-use libraries to access features in batch and serve them in real time.
Tools and dashboards to observe feature statistics over time and detect anomalies.
Integrations with our customers' feature infrastructure.
User-friendly and scalable feature generation systems, both with TensorFlow Extended modules and in-house tools.
Our tools enable ML engineers to leverage and operationalize Twitter data to improve their models. We care deeply about:
Engineering excellence such as good design abstractions, API stability, best practices and unit testing.
Staying abreast of and leveraging fast-moving ML open source innovations such as the Tensorflow Extended ecosystem.
Making the feature delivery a seamless experience as models go from training (offline) to production (online).
Who You Are:
You have a passion for machine learning.
You communicate fluidly, at the level of your audience, and seek to understand and being understood.
You have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution.
You are adamant about studying customer needs and enabling their success through our products.
You are a senior engineer and have been around the block a couple of times.
You thrive on building platform tools for developers.
You work hand-in-hand with modeling engineers and data-scientists, and your passion is to enable them with better infrastructure.
Requirements:
BS, MS, or PhD in Computer Science or equivalent work experience.
You have working knowledge in two or more of these or related big data technologies: Hadoop, Spark, Apache Beam, Dataflow, Presto
You have 2+ years of experience in working on ML infrastucture projects.
You have 4+ years in distributed systems.
You have been successful with geographically distributed teams.
Link:
https://careers.twitter.com/en/work-for-twitter/201810/sr-ml-platform-engineer-cortex-sf0.html
Research Scientists (ML/DL, NLP, CV, IR, Complex Networks)
Dataminr
Multiple openings, *all levels*.
Work on the most challenging problems in AI, in an open environment (publish, contribute to the research community) while having a positive impact on products used in over 70 countries. Dataminr transforms vast social media feeds into actionable alerts- detecting, classifying, and determining the importance of public events for several verticals so journalists, first responders, and others can respond faster to breaking events. Dataminr has raised $577M, has over 400 employees, and has headquarters in NYC.
Full job descriptions in the link. Contact me directly to meet@NeurIPS or indicate in your application.
Link:
http://www.dataminr.com/careers
Research Internships- Ph.D. Students Only
Dataminr
Spring 2018/Summer 2019/Fall 2019.
ML/DL/CV/NLP,...
Work on the most challenging problems in AI, in an open environment (publish, contribute to the research community) while having a positive impact on products used in over 70 countries. Dataminr transforms vast social media feeds into actionable alerts- detecting, classifying, and determining the importance of public events for several verticals so journalists, first responders, and others can respond faster to breaking events. Dataminr has raised $577M, has over 400 employees, and has headquarters in NYC.
Full job descriptions in the link. Contact me directly to meet@NeurIPS or indicate in your application.
Link:
http://www.dataminr.com/careers
Research Engineers/Research Scientist
BioMind™
BioMind™ is an award-winning deep technology company focusing on healthcare solutions. We build state-of-the-art Artificial Intelligence (AI) technologies to help hospitals diagnose medical conditions. We are deeply committed to improving the lives of millions of patients globally through deeptech. Staffed by a mission-driven people who love building great products powered by Artificial Intelligence, the team creates predictive applications to help hospitals diagnose medical conditions and manage healthcare-related problems. BioMind AI applications cover a wide spectrum of areas including brain tumours, vascular diseases and pathology.
BioMind™ is the world’s first CE-certified AI application for brain diagnosis. It is a state-of-the-art diagnostic support system that uses deep learning technology to analyse MRI and CT images. It automatically recommends a diagnosis and report for doctors to review – within seconds. BioMind™ is jointly developed with medical specialists and deep learning experts. Its capabilities include image segmentation, prediction, analysis, and 3D reconstruction of abnormalities. The product can analyse neurological disorders such as brain tumours, vascular diseases and stroke-related medical conditions.
We are looking for strong technical individuals who are excited about engineering Artificial Intelliegence applications, love programming, solves tough problems and fascinated by Maths and Physics.
Do email us at hr@biomind.ai or drop by our Booth No. 819.
You may also visit our website https://biomind.ai for more details.
Link:
https://biomind.ai
Postdoctoral Researcher
BioMind™
BioMind™ is an award-winning deep technology company focusing on healthcare solutions. We build state-of-the-art Artificial Intelligence (AI) technologies to help hospitals diagnose medical conditions. We are deeply committed to improving the lives of millions of patients globally through deeptech. Staffed by a mission-driven people who love building great products powered by Artificial Intelligence, the team creates predictive applications to help hospitals diagnose medical conditions and manage healthcare-related problems. BioMind AI applications cover a wide spectrum of areas including brain tumours, vascular diseases and pathology.
BioMind™ is the world’s first CE-certified AI application for brain diagnosis. It is a state-of-the-art diagnostic support system that uses deep learning technology to analyse MRI and CT images. It automatically recommends a diagnosis and report for doctors to review – within seconds. BioMind™ is jointly developed with medical specialists and deep learning experts. Its capabilities include image segmentation, prediction, analysis, and 3D reconstruction of abnormalities. The product can analyse neurological disorders such as brain tumours, vascular diseases and stroke-related medical conditions.
We are looking for strong technical individuals who are excited about engineering Artificial Intelliegence applications, love programming, solves tough problems and fascinated by Maths and Physics.
Do email us at hr@biomind.ai or drop by our Booth No. 819.
You may also visit our website https://biomind.ai for more details.
Link:
https://biomind.ai
AI based service delivery of brain health programs
Synaptitude Brain Health
This is a Mitacs 1 year position in beautiful British Columbia in Vancouver with Synaptitude and The Centre for Brain Health at the University of British Columbia. The project involves developing conversational experiences in Mandarin and English to deliver a coaching application for adults to improve their brain health. Effecting behavioural change and be challenging. Come and work at the forefront of preventative healthcare. See the link for more details: https://www.mitacs.ca/en/opportunities/pdf-natural-language-processing-mandarin-and-english-ai-based-service-delivery-brain
Link:
https://www.mitacs.ca/en/opportunities/pdf-natural-language-processing-mandarin-and-english-ai-based-service-delivery-brain
Postdoctoral/PhD Researcher
Deeplite
Deeplite aims to provide research funding and grants in collaboration with professors at top universities to develop and deploy novel research solutions in the areas of deep neural network (DNN) optimization. As a postdoctoral researcher or PhD student, you will interact with both leading academics and industries to create new advancements in the field of deep learning alongside top academic partners.
Deeplite is tackling inference optimization of DNNs by leveraging an AI-Driven Optimizer to make them faster, smaller and energy-efficient from cloud to edge computing. Our vision is to make artificial intelligence more accessible and affordable to benefit everyone’s daily life.
We are looking for people who share our vision of democratizing deep learning and contribute to our mission and build collaborations with academia. The postdoctoral researcher or PhD student will have the opportunity to define and lead research directions and contribute to the AI research community by publishing papers, securing patents, collaborating with leading academic institutions, and speaking and participating at international conferences.
Qualifications:
• Ph.D. or close to completion
• Experience in the following areas: machine learning, deep learning, reinforcement learning
• Interested in research and solving real world problems
• Familiar with any deep learning framework such as TensorFlow, Caffe, Pytorch, etc.
• Strong publication record or alternative relevant innovation experience
This is a unique opportunity to change the way DNNs are used in industry and create new opportunities for AI technologies. Your work has the potential to power products and services that millions of users depend on!
Link:
https://boards.greenhouse.io/tandemlaunch/jobs/4126207002
Deep Learning Research Scientist
Deeplite
Deeplite is dedicated to the fundamental advancement of deep learning systems. We are tackling inference optimization of deep neural networks (DNNs), making them faster & energy-efficient from cloud to edge computing. Our project leverages state-of-the-art technology from elite universities to make DNNs applicable for any device and we are looking for a person who shares our vision of democratizing deep learning. Our team works hard on the iterative evolution of the science behind DNNs to directly improve daily life.
Our vision is to provide a scalable, DNN-agnostic accelerator with the primary goal of platform-aware optimization. The engine selectively optimizes and maps DNNs to the target platform. The project is in development phase, where we are implementing academic works and our patent portfolio into our technology. In this role, you will embed deeply with core concepts of DNNs and their low-level implementations. Knowledge of various frameworks (Tensorflow, PyTorch, Caffe, etc.) is key. Experience and understanding of various hardware architectures (GPU, CPU, FPGA) is an asset, as the implementation of DNNs depends upon hardware properties.
What You'll Be Doing
• Design and develop robust inferencing platform that can be scaled to multiple platforms
• Performance analysis, optimization and tuning
• Closely follow academic works in the field of deep learning and feature update of the platform
What We Need To See
• BSc, MSc or Ph.D. in machine learning, deep learning or related technical field
• Experience in TensorFlow, Caffe, Pytorch or any deep learning framework is a MUST
• Experience in utilizing theoretical and empirical research to solve real-world problems - this is a hands-on role!
• Knowledge in C/C++/C#, Python, Java or other related languages
• Understanding of low-level implementation of NNs is crucial
Machine Learning Researcher
SPORTLOGiQ
Who we are:
SPORTLOGiQ is the leading provider of advanced analytics data for professional sports teams and broadcast media. As a Machine Learning Researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity!
Our ideal candidate would have strong experience in developing novel machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data.
What you need:
● Graduate degree (PhD preferred) with research experience in applied machine learning
● Solid skills in C/C++ or Python
● Ability to develop machine learning models on large and complex data
● Deep understanding of machine learning theory and mathematical modeling
● Strong working knowledge of data structure
Nice to have:
● Research experience and publications in relevant fields in top-tier conferences and journals
● Up-to-date knowledge and understanding of recent advances in machine learning,
particularly semi-supervised learning and deep reinforcement learning
● Research experience in time series analysis and/or structured prediction
● Practical experience with deep learning frameworks
What We Offer:
● Competitive salary
● Flexible work schedule
● Bonus structure and employees stock options
● Comprehensive benefits program
● A cooperative and fun work environment
● Freedom to work on your own projects
Link:
SPORTLOGiQ.com/en/careers
Computer Vision Researcher
SPORTSLOGiQ
SPORTLOGiQ is the leading provider of advanced analytics data for professional sports teams and broadcast media. As a Computer Vision researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling.
What you'll do:
Our ideal candidate would have strong experience in developing novel computer vision and machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the computer vision and video analysis team, and will be in charge of the development of novel methods for solving computer vision problems.
What you'll need:
● Graduate degree (PhD preferred) with research experience in computer vision and machine learning
● Solid skills in C/C++ or Python
● Ability to develop large-scale systems working with image/video data
● Strong working knowledge of software architecture and data structure
Nice to have:
● Research experience and publications in relevant fields in top-tier conferences and journals
● Up-to-date knowledge and understanding of recent advances in machine learning and
computer vision, particularly deep learning
● Practical experience with deep learning frameworks
What we offer:
● Competitive salary
● Flexible work schedule
● Comprehensive benefits program
● A cooperative and fun work environment
● Freedom to work on your own projects
You will have the opportunity to publish original research, participate in scientific conferences, and collaborate with academic partners
Link:
SPORTLOGiQ.com/en/careers
Data Scientist
SPORTLOGIQ
SPORTLOGiQ is the leading provider of advanced analytics data for professional sports teams and broadcast media. As a Data Scientist, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling.
What you’ll do:
Our ideal candidate would have strong experience in developing novel statistical modeling techniques and applying them to solve real-world problems. The selected candidate will be part of the sport analytics research team and will oversee the development of novel descriptive and predictive models for sport games data.
What you need:
• Graduate degree (PhD preferred) with research experience in applied statistical modeling
• Solid skills in C/C++, Python, R, or Julia
• Ability to develop novel metrics and models on large, complex data
• Deep understanding of statistical theory and modeling
• Strong working knowledge of data science best practices Nice to have:
• Research experience and publications in relevant fields in top-tier conferences and journals
• Up-to-date knowledge and understanding of recent advances in statistics and machine
learning, particularly sports analytics and spatio-temporal modeling
• Research experience in time series analysis, spatial modeling, and methods for big data
• Practical experience with Stan, INLA, Keras, or related frameworks
What We Offer:
• Competitive salary
• Comprehensive benefits program
• A cooperative and fun work environment
• Freedom to work on your on your own projects
Link:
Sportlogiq.com/en/careers
Faculty Position in Data Science at the Johns Hopkins Mathematical Institute for Data Science (MINDS)
Johns Hopkins University
The Johns Hopkins Mathematical Institute for Data Science (MINDS) invites applications for a tenure-track faculty position. The successful candidate is expected to conduct fundamental research in the mathematical, statistical and computational foundations of machine learning. Primary appointments will be in the academic Department most appropriate for the candidate within the Whiting School of Engineering – e.g. Applied Math and Statistics, Biomedical Engineering, Computer Science, or Electrical and Computer Engineering. For additional information see https://www.minds.jhu.edu/job-openings/.
Link:
https://apply.interfolio.com/57726
Machine Learning Engineer
Grail Inc.
The ideal candidate will have some background or experience in biology or biological data analysis, but this is not a requirement. We are also seeking highly motivated and talented candidates interested in applying their skills to a new domain in a cross-disciplinary environment.
You Will:
Do modeling and analysis of large, complex genomics datasets using advanced statistical methods to generate predictions and biological insights.
Perform end-to-end analysis that include design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
Interact cross-functionally with other teams including software, clinical, operations, research, product development, and external collaborators.
Your Background Should Include:
B.A./B.S., M.S, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or related field.
Proficiency with one or more programming languages.
Strong understanding of and practical experience with machine learning classification algorithms.
PREFERRED QUALIFICATIONS
5+ years of industry experience in an applied machine learning environment.
Experience with genomics and next generation sequencing data analysis (DNA, RNA, or epigenetic analysis.)
Experience analyzing very large datasets (100TB+ scale.)
Experience building production machine learning systems.
Demonstrated ability to write high-quality, production-ready code using machine learning frameworks like TensorFlow, PyTorch etc.
Proficiency in Linux environment and experience with version control practices and tools.
Link:
https://jobs.lever.co/grailbio/4d3f730f-3e5e-41c9-9b1d-33c29c8ccb12
Machine Learning Engineer
Prodo.AI
We teach machines to write code for humans.
That involves training generative models to automate various software development tasks, typically representing source code as graphs before feeding them into deep neural nets, while borrowing NLP techniques to deal with the human language in code.
Current team includes 5 PhDs (ex Oxford, Cambridge, Stanford...) and 5 product engineers (ex Google, Palantir...).
Like most VC-backed startups, we’re always looking for inspired individuals who like to get hard things done quickly. Strong ML engineering background required. No pressure to publish.
Senior Software Engineer - Deep Learning
Pony.ai
At Pony.ai, excellence is at the core of our company. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. As part of the team, you will play a critical role in developing and deploying state-of-the art vehicle technology. You will have every opportunity to grow and develop as our company grows. Join us on this exciting journey as we bring the latest breakthroughs in artificial intelligence to the future of transportation.
As a Senior Deep Learning Engineer you will be responsible for developing machine learning solutions to real world problems. You will work closely with the perception and planning teams to develop evaluation tools for autonomous driving.
Link:
https://www.workable.com/j/6BD8F26B0F
Research Scientist (Full Time or Internship)
Pony.ai
At Pony.ai, excellence is at the core of our company. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. We take a principled approach to solve complex technical problems in areas such as computer vision, machine learning and robotics.
As a research scientist, you will collaborate with our current team and top academic institutions to work on deep learning, computer vision, and autonomous driving. You will also engage with the international research community by publishing research papers and attending academic conferences. Please join us If you are passionate about inventing the AI for autonomous driving, have good programming skills, and have publications at top conferences or journals in the field of computer vision, machine learning, robotics.
Desired Qualifications:
PhD candidate in a machine learning related discipline or equivalent practical experienceExperience in one or more of the following: computer vision, deep learning and deep reinforcement learning, and learning based roboticsStrong programming skills in C++ and/or Python, experience in Tensorflow or PyTorchReference letters from advisors preferredExperience in data structures and algorithms is a plus
We hire in all our office locations, Fremont, CA, Beijing, and Guangzhou.
Link:
https://www.workable.com/j/F20E46964C
Senior Software Engineer - Machine Learning Pipeline
Pony.ai
At Pony.ai, excellence is at the core of our company. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. As part of the team, you will play a critical role in developing and deploying state-of-the art vehicle technology. You will have every opportunity to grow and develop as our company grows. Join us on this exciting journey as we bring the latest breakthroughs in artificial intelligence to the future of transportation.
As a Senior Software Engineer in Machine learning pipeline, you will be responsible for developing training, inference and evaluation pipeline for machine learning models used on the self-driving car. You will work with large-scale labeled data and will work with deep learning model developers and researchers together to improve the overall pipeline used in our machine learning development.
Link:
https://www.workable.com/j/092F5243FB
Machine Learning Engineer
Owkin
We are looking for a passionate and motivated machine learning engineers to work with our research team. In this position, you will be responsible for the development of machine learning algorithms, internal libraries and tools as well as working with our product teams to translate these creations into production. The successful candidate must have a cross-discipline background in machine learning and software engineering, and have a passion for tackling large and challenging real-world problems in the field of medical science.
The position is located in OWKIN Lab, our Paris-based R&D center. As such, the candidate must possess authorization to work legally in France. Candidates not meeting every criteria, but who can demonstrate exceptional skill in key areas, are invited to apply.
Link:
https://owkin.welcomekit.co/jobs/machine-learning-engineer_paris
Machine Learning Software Engineer - Qualcomm AI Research Korea
Machine Learning Software Engineer - Qualcomm AI Research Korea
Qualcomm Korea
We are looking for engineers to join a team initiating new area of things by developing core technologies in embedded machine learning. The selected candidates will work on various areas of sound and speech processing, enhancement, recognition, and understanding.
Basic technical requirements are:
- Algorithm implementation and optimization for embedded processor
- Proficiency in C/C++ programming
- Strong communications and presentations skills
Specific knowledge in the following area is a plus:
- Embedded programming
- Python programming
- Machine learning
- Speech/Speaker Recognition
- Natural language understanding
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1964697
Director, Business Development
Digital Divide Data
Digital Divide Data [DDD] is a non-profit that creates social impact by providing customized training data and labeling services for computer vision, natural language processing, smart robotics, and virtual agents.
DDD is looking for an experienced business development executive to join its fast growing Machine Learning Solutions practice. This position will be responsible for acquisition & development of new customers, and be part of a high-performance sales organization. We are looking for someone who has a deep understanding of enterprise selling of technology solutions, a proven record of accomplishment of selling cross a broad geography, and uses creative approaches that can help the DDD brand flourish.
RESPONSIBILITIES
Sales Hunter with proven ability to sell SaaS Enterprise solutions and closing deals with Fortune 2000 companies, Mid-Market and startups.
This is a high visibility, strategic, sales role, with quota. It is a new business generation role.
Develop and manage metrics/success criteria for all sales leads, programs, and activities.
Participate actively in the solutions and offerings definition and solutions development process.
Work with the executive team to identify and develop strategic alliances, and closely support major customers.
QUALIFICATIONS
7+ years required of technology industry experience, preferably with solution sales experience selling B2B SAAS products to Fortune 2000 organizations to all levels of decision makers and influencers from technical contacts to C-level executives.
Experience in computer vision, NLP, machine learning and training data will be an advantage.
Track record of significant referenceable deals closed with Fortune 2000 companies.
Link:
www.digitaldividedata.com
Deep Learning / AI Research Engineer - Qualcomm AI Research Korea
Qualcomm Korea
Basic technical requirements are:
- Machine learning knowledge and experience
- Intermediate programming skill in Python and C or C++
- Strong communications and presentation skills
Preferred Qualifications
The experiences on the following research areas and skill sets can be a plus:
- Automatic speech recognition (ASR)
- Speaker verification / identification
- Speech keyword spotting
- Speech enhancement / multi-channel processing
- Natural language processing (NLP)
- Context (sound) recognition
- Reinforcement learning on any task
- Pytorch, tensorflow, or other tools to develop deep learning algorithms
- Advanced (or basic) deep learning skills
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1966459
Intern, Machine Learning Research Engineer (sound/speech recognition)
Qualcomm Korea
We are looking for engineers to join a team initiating new area of mobile services and applications by developing core technologies in multimedia and machine learning. The selected candidates will work on various areas of sound and speech recognition and understanding.
Basic technical requirements are:
- Probability and Statistics
- Pattern recognition and Machine learning (Deep learning)
- Audio signal processing
- Strong programming skills to implement and verify algorithms
- Strong communications and presentations skills
Specific knowledge in the following area is a plus:
- Speech/Speaker recognition
- Spoken language understanding
- Reinforcement learning
- Environmental sound recognition
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1966462
Speech and Audio Machine Learning Testing Engineer, 1-year contractor
Qualcomm Korea
We are looking for talented engineers to join our team who will work on voice user interface system such as keyword detection and speech recognition.
Minimum Qualifications:
- Python, C/C++ Programming
- Familiarity with linux environment
- Basic knowledge and development experience on machine learning and signal processing
Preferred Qualifications:
- Specific knowledge and experience in the following area is a plus
- Speech and audio signal processing
- Deep learning with hands-on experience of deep learning tools, e.g. PyTorch
- Java and android app development
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1965313
Deep Learning for Neuro-Imaging in Montreal
University of Montreal
We are based at Université de Montréal (www.neuro.polymtl.ca), and we develop advanced MRI image analysis techniques using deep learning. In collaboration with neuroradiologists and world experts in deep learning (Mila), we apply these tools in patients with traumatic injury and neurodegenative diseases (multiple sclerosis, ALS, etc.).
We are recruiting Master/PhD students and Postdoc fellows with strong skills in deep learning and computer vision.
Link:
http://www.neuro.polymtl.ca
Lecturer/Senior Lecturer (Creative AI)
Monash University
The Monash University Faculty of Information Technology is now seeking a Lecturer/Senior Lecturer specialising in Creative AI to join our high achieving and highly motivated team of teaching and research staff.
Your role as a Level B/C academic will involve helping to build a world leading research program in Creative applications of Artificial Intelligence, including playing a significant role in research projects and being an active member of a growing international research team. Additionally, you will lead the research supervision of honours and postgraduate students, and provide strong and committed leadership in teaching, by participating in the Faculty’s curriculum initiation and development of subject material and development of teaching units.
You will also play a key role in active engagement in a specialist research area in line with the Faculty’s research strategy, by maintaining a substantial active publications record and supervising and mentoring early-mid career researchers and research students. In line with this, you will foster research excellence through procurement of research grants through competitive government, commercial, philanthropic and/or other sources, leading significant research projects, and working with other staff to develop research links.
As a successful candidate, you will bring your proven expertise in Creative applications of Artificial Intelligence and Computational Creativity to the fore, drawing on your relevant doctoral qualification and strong publications record. Your ability to undertake outstanding research as part of a collaborative team, to lead and deliver successful projects, and your ability to attract notionally and internationally competitive funding will further enhance your success here. You will also have a demonstrated track record of teaching experience in a tertiary environment including course coordination.
Contact Lab Director Prof. Jon McCormack at the email address provided.
Link:
https://sensilab.monash.edu/work-with-us/jobs-at-sensilab/
AI Engineer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster.
As an AI Engineer, you will be working closely with Graphcore’s customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies.
Responsibilities
Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms using Graphcore’s IPU technology and achieve breakthroughs in artificial intelligence
Support Sales teams as they engage new customers, understanding their AI challenges and describing how Graphcore’s technology can help
Become a thought leader on machine learning and advocate for Graphcore’s IPU technology
Work with the Product Management and Engineering to ensure a good flow of customer and market feedback that can be incorporated into future products.
Link:
http://www.graphcore.ai/careers
AI Applications Specialist
Graphcore
Graphcore’s Intelligence Processing Units, or IPUs, are specifically designed for artificial intelligence and compute-dense graph applications.
As an AI Application Specialist, you will work to port and optimize machine learning and artificial intelligence applications using Graphcore’s Poplar™ software and IPU processors, enabling breakthroughs in this rapidly moving field.
You will work on AI and ML applications, create application notes and blog content, and work closely with Graphcore’s field teams, customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. You will also act as a senior technical figure within our product support organization, debugging customer issues and providing concise summaries and recommended fixes to our core engineering teams.
In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies. You will need to develop a deep understanding of the IPU architecture and the associated Poplar™ tools and become familiar with leading machine learning frameworks.
Responsibilities
Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms and achieve breakthroughs in artificial intelligence
Become a recognized expert on Graphcore’s IPU technology and Poplar™ tools and deliver compelling training to our customers and partners
Field & resolve challenging/complex customer support issues
Shepherd critical customer issues and provide timely advance warning of critical issues that need attention
Become a thought leader on machine learning and advocate for Graphcore’s IPU.
Link:
http://www.graphcore.ai/careers
AI Applications Specialist
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster.
As an AI Engineer, you will be working closely with Graphcore’s customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies.
Responsibilities
Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms using Graphcore’s IPU technology and achieve breakthroughs in artificial intelligence
Support Sales teams as they engage new customers, understanding their AI challenges and describing how Graphcore’s technology can help
Become a thought leader on machine learning and advocate for Graphcore’s IPU technology
Work with the Product Management and Engineering to ensure a good flow of customer and market feedback that can be incorporated into future products.
Link:
http://www.graphcore.ai/careers
AI Research Scientist
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
About the role
Help the current effort of the AI research community, and contribute to cutting edge research in machine intelligence, starting from areas including Deep Learning, Generative Models, Reinforcement Learning, and Evolutionary Computing
Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities
Contribute to the progress of AI research, with the possibility of addressing both the understanding of the basic theory and the practical use of new techniques for a wide range of possible applications
Participate to work to identify new directions of AI research, with the aim of contributing to new ground-breaking approaches to computational intelligence
Responsibilities
Contribute to the definition of research activities and conduct the corresponding investigations in specific areas of fundamental and applied research, aiming at publishing the work for discussion within the wider AI research community
Key Skills
MSc or PhD in Electrical Engineering, Computer Science, Physics, Statistics, Mathematics or related fields, with a strong basis in numerical analysis and probability theory
In-depth understanding of modern machine learning algorithms and deep learning architectures
Basic coding skills (Python, C/C++) and experience of algorithm implementation in modern machine learning frameworks (TensorFlow, PyTorch)
Strong communication skills, and willingness to work in a collaborative environment
Link:
http://www.graphcore.ai/careers
Deep Learning Engineer
Audatic
We are building systems to intelligently modify sound using state-of-the-art deep learning and unique datasets. Our pwrsonalized sound environment allows users ri customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality.
Link:
www.audatic.ai
Data Scientist
Audatic
We are building systems to intelligently modify sound using state-of-the-art deep learning and unique datasets. Our pwrsonalized sound environment allows users ri customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality.
Link:
www.audatic.ai
Software Engineer
Audatic
We are building systems to intelligently modify sound using state-of-the-art deep learning and unique datasets. Our pwrsonalized sound environment allows users ri customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality.
Link:
www.audatic.ai
Performance Engineer
Audatic
We are building systems to intelligently modify sound using state-of-the-art deep learning and unique datasets. Our pwrsonalized sound environment allows users ri customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality.
Link:
www.audatic.ai
postdoc position at cvc barcelona
computer vision center barcelona
Postdoc position for 2 years in the LAMP group at the Computer Vision Center in beautiful Barcelona (http://www.cvc.uab.es/LAMP/) . We are looking for a postdoc to work on deep learning projects. We are working on a wide range of research topics in deep learning, including learning without forgetting, active learning, few-shot learning, self-supervised learning and multi-modal representation learning. We are looking for candidates which have publications in the top conferences CVPR, ECCV, ICCV, NIPS, ICML, or ICLR. Contact me if you would like more details on the offer (joost@cvc.uab.es). I will be at NIPS if you would like to meet.
Software Product Manager
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
We are looking for a Software Product Manager to define and manage the delivery of software products to our customers. Working closely with the internal software engineering team, this individual will have experience of complex software development projects and their delivery.
Responsibilities
Work with software engineering, commercial product management and customers to define and track software requirements for each market segment
Be responsible for the detailed software product roadmap
Work with Software Engineering to define and communicate software release packages and content
Attend internal software planning meetings to ensure that the customer requirements are being met and prioritized correctly
Define and oversee mechanisms required for delivery of software products to customers
Work with Customer Engineering to ensure that any custom software solutions are taken-on and prioritized appropriately
Oversee EULA and licensing issues concerning software products
Requirements
BS or higher in CS, EE, or related technical field
10+ years of experience in complex software development projects and their delivery
Ability to understand complex technical issues and work with others to address them
Excellent communications and presentation skills to technical internal and external audiences
Experience with Machine learning, High-Performance Computing, or software tools for parallel processors is a significant advantage.
Link:
http://www.graphcore.ai/careers
Internal Product Manager
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
We are looking for an Internal Product Manager to organize the delivery of our IPU technology to our internal Engineering organisation and provide a coherent view of project planning across the Engineering organisation. Working closely with the Graphcore Silicon, Platforms and Software teams, this individual will have experience of cross-functional organisation in cutting-edge Silicon or Software fields.
Responsibilities
• Understand the dependencies between different teams within the Engineering organisation
• Organise and track deliveries between the various Engineering teams, including Silicon design, Platforms design and Software
• Organise and track IPU systems containing Graphcore products and other 3rdparty Hardware and Software for internal development use
• Drive a coherent, light-touch view of project planning between the Silicon, Hardware and Software teams
• Provide a roll-up of cross functional planning between Engineering teams
• Track key customer requirements against the combined Engineering planning
Requirements
• BS or higher in CS, EE, or related technical field
• 6+ years of experience in complex cross-functional development projects and their delivery
• Ability to understand complex technical issues and work with others to address them
• Excellent communications and presentation skills to Technical, Sales and Marketing audiences
• Experience with Machine Learning, High-Performance Computing, or Parallel Processing Hardware/Software would be an advantage
Link:
http://www.graphcore.ai/careers
R&D Engineer Autonomous Driving
TomTom
At TomTom, you are in a unique position to advance and to impact the future of autonomous driving. We are carrying out world-class research and development to innovate our map technology for self-driving cars, using the latest machine learning and computer vision techniques.
Defining and being able to build a highly accurate map is essential for precise localization and navigation of a self-driving car. Our maps contain the precise location and description of road elements such as paint markers, lane types, borders, barriers, junctions, signs, and more.
To create these detailed maps, we efficiently analyze large amounts of incoming data from diverse on-car sensors such as LiDAR and cameras. Approaches to fully automate and scale the mapping process are key in our research strategy. Having some of the largest labeled maps-related databases in the world, we make use of various supervised and unsupervised learning algorithms.
Requirements:
- Strong academic background in computer vision and machine learning with a postgraduate degree, preferably PhD
- Proven practical experience with relevant topics in computer vision & machine learning
- Experience with deep learning, and frameworks such as TensorFlow or PyTorch
- Close familiarity with the latest research on detection, segmentation, classification, and tracking
- Preferably a strong publication record with the top-tier computer vision and machine learning conferences & journals
- Fluency in Python; experience with modern C++ is a plus
- Ability to write clean, elegant and maintainable code
- Strong motivation to getting research products and prototypes into production
What to expect:
- Work together with professionals in an open, friendly environment where creativity is key.
- Your innovative solutions will be put to practice, changing people’s everyday lives.
- We are close to the research community and work on cutting edge algorithms and models.
- Take ownership of, and pride in what we do and achieve.
Machine Learning Framework Developer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models’ orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
Our IPU platform is designed to be targeted by machine learning frameworks such as Tensorflow, MXNet, Caffe2, CNTK and PyTorch. This role involves understanding the implementation of these frameworks at a deep technical level. This role focuses on the integration of the IPU and Poplar platform into these frameworks.
Requirements
Experience of developing machine learning frameworks would be good, but it is not essential
Strong C++ development ability along with an understanding of how these frameworks target existing technologies such as a GPU would be useful
Developers will be expected to gain a deep understanding of the Poplar framework and the functionality provided by its application libraries, quickly upon joining Graphcore, in order to integrate it into machine learning frameworks. Fundamentally, this role provides an opportunity to work on adding advanced hardware support to software platforms used by many of the worlds largest companies
Link:
http://www.graphcore.ai/careers
Software Platform Engineer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models’ orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
Main focus
Working on tools, libraries and drivers to target our new IPU hardware platform efficiently. The software stack involves a mix of low level coding and drivers, toolchain component (compilers, assemblers, linkers etc.) and libraries to target multiple processors working in parallel.
As the software stack crosses many different domains a good candidate may come from many different backgrounds (toolchain developers, HPC developers, DSP engineers, other application developers). Understanding of machine learning is desirable but not essential.
Fundamentally, this is a coding role so being comfortable with programming and having the skills to cope with new issues is paramount. C++ experience is ideal. PhDs in relevant areas count as good experience.
Link:
http://www.graphcore.ai/careers
Data Scientist – Machine Learning
Booking.com
(see link for full description)
Would you like to translate terabytes of data into unforgettable holidays for millions of people around the globe?
Our product development teams crunch endless amounts of data to provide our customers with the best possible experience. The projects focus on different business challenges that range from understanding and predicting market data, to ranking all properties on our website and providing our customers with the most relevant personalised recommendations or making customer service a frictionless experiences, preventing fraud, optimising our marketing bidding, and much more.
B.responsible
- Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles
- Research & Development on how to improve customers’ experience, by using our vast amount of data
- Actively contribute to taking Data Science at Booking.com to the next level
B.skilled
- Minimum two years of relevant work experience
- Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
- Excellent English communication skills; the ability to convey your message to team members and other stakeholders
- Prior experience with a few of the following models: Logistic Regression, SVMs, (Deep) Neural Nets, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation
Required
- Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java
- Exposure to SQL and relational databases
Preferred
- Experience implementing a real-world Recommender or Ranking system
- Worked with the Hadoop Ecosystem
- Implemented multi-core/distributed software, preferably in a Linux environment
Link:
https://goo.gl/hwHchB
Research Scientist
Stradigi AI
Stradigi AI is looking for bright, innovative and pragmatic Research Scientists with experience in Machine Learning. Make your mark and contribute to our successful team and launch new products by conducting applied research in artificial intelligence!
Responsibilities:
Conducting applied research to challenge the status quo in our industry
Working hand-to-hand with software architects and engineers using scientific programming to convert prototypes into tangible products in high-growth markets such as medical and healthcare, sports and social platforms
Collaborating with specialized researchers to examine challenging problems
Becoming a key member of Stradigi’s AI product team to develop new products and optimize existing products
Proposing innovative strategies related to consumer behaviours and requirements
Publishing original research papers, create patents and attend conferences
Requirements:
A Ph.D. in Computer Science, Physics, Mathematics or similar
Experience in Machine Learning (including Deep Learning), optimization techniques or complex systems
Excellent knowledge of Python, Scala, Java, C or C++
Comfort using Scikit learn, TensorFlow, NumPy, Matplotlib, Torch, and R
Experience with data visualization tools
A love for research and a product oriented mindset
Enthusiasm for working on a team and a passion for analyzing and finding solutions
What We Offer:
Group Insurance and 3% company contribution to RRSP
½ paid day for your birthday
Weekly team breakfast
Monthly Lunch & Learn
Referral Bonuses
Company events organized by our social committee
And much more!
Link:
https://www.stradigi.ai/careers/
AI Python Developer
Stradigi AI
Responsibilities:
Work hand-to-hand with AI research scientists and software architects to develop production ready code
Implement best practices in designing and developing Stradigi AI’s Machine Learning technology stack
Design and implement improvements to Machine Learning testing frameworks
Perform routine maintenance on the Machine Learning technology stack
Upgrade code as versions of Tensorflow, Keras, etc., are changed
Introduce researchers to coding best practices to enable agility and delivery of Stradigi AI’s products and solutions
Requirements:
Takes pride in writing beautiful code
An interest in Machine Learning, Deep Learning and other AI
An University degree in Software Engineering or equivalent
3+ years experience software industry
Excellent knowledge of Python
Working knowledge of cloud computing such as AWS and Google Cloud
Working experience with version control best practices
Enthusiasm for working on a team and a passion for analyzing and finding solutions
Nice to Have:
Understanding of Machine Learning (including Deep Learning), optimization techniques, or complex systems
Comfort using Scikit learn, TensorFlow, Keras, NumPy, Matplotlib, PyTorch
C/C++
Experience working with DevOps and Agile frameworks
What we offer:
Group Insurance and 3% company contribution to RRSP;
1⁄2 paid day for your birthday;
Weekly team breakfast;
Monthly Lunch & Learn;
Referral Bonuses;
Company events organized by our social committee;
And much more!
Link:
https://www.stradigi.ai/careers/
Data Scientist
Stradigi AI
Responsibilities:
Perform data analyses and visualizations to understand client data in relation to business and operational challenges the client is facing
Use business savvy to identify risks and opportunities for the client
Use ETL and Big Data tools to develop an efficient and accurate data workflow
Apply a wide variety of Machine Learning algorithms to real-world challenges
Work closely with back-end to front-end software developers to ensure data and Machine Learning models are being used effectively for client solutions
Requirements:
Understanding and experience in Machine Learning (including Deep Learning) to challenges including (but not limited to) NLU, Image and Video Understanding, Prediction, and/or Recommendation.
Experience with SQL and NoSQL databases and ETL tools
Experience using Big Data tools (Hadoop, Spark)
University Degree in quantitative discipline; MSc preferred
Excellent understanding of statistics
Industry experience with data visualization tools (Matplotlib, d3.js)
Excellent working knowledge of Python
Comfort using Scikit learn, Numpy, Pandas
A love for data-driven solutions and a product-oriented mindset
Enthusiasm for working on a team and a passion for communicating your ideas
What we offer:
Group Insurance and 3% company contribution to RRSP;
½ paid day for your birthday;
Weekly team breakfast;
Monthly Lunch & Learn;
Referral Bonuses;
Company events organized by our social committee;
And much more!
Link:
https://www.stradigi.ai/careers/
Deep learning Research Engineer
Dolby laboratories
Dolby’s Applied AI group is looking for a Deep Learning domain expert to help lead our small team of applied researchers and guide Dolby’s research focus in AI and machine learning. The person in this role would create and deploy entertainment technologies using machine learning and collaborate with Dolby’s world-class audio and vision experts to develop state of the art solutions.
Job Responsibilities
• Work closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
• Use deep learning to create new solutions and enhance existing applications.
• Collaborate with researchers to combine domain knowledge with state-of-the-art deep learning techniques.
• Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.
Requirements
• Ph.D. or Masters with 2 years of experience in Computer Science or similar with a focus on deep learning.
• Strong publication record, with at least one publication in a major machine learning conference (e.g. NIPS, ICLR, ICML, etc.)
• Ability to envision applications of new technologies in the form of innovative products.
• Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow, PyTorch, Caffe etc.)
Strongly Desired
• Interest in audio technologies. Proficiency in theory and application of digital signal processing techniques.
Link:
https://www.linkedin.com/jobs/view/deep-learning-expert-at-dolby-laboratories-946047546/
Research Scientist
Intel
Research Scientist
Job Description
If you are passionate about driving the future of graphics hardware and display technology and want to work with leading graphics researchers on Intel's latest GPU architecture, then Intel’s Core and Visual Computing Group (CVCG) has opportunities for you. CVCG delivers Intel's 3D Graphics, Media, Display, and Parallel Computing Technologies and is constantly looking for world class researchers to join our various research efforts.
Your responsibilities will involve:
Research in 3D graphics, working alongside other Intel researchers to invent new techniques or technologies that advance the field of real-time rendering.
Producing a long-term technology vision that impacts Intel graphics hardware and software products.
Publishing your work in leading conferences and journals.
Initiates the design, development, execution and implementation of scientific research projects to fuel Intel's growth in the areas of computing, communication, technology and manufacturing and new business opportunity.
Investigates the feasibility of applying scientific principles and concepts to potential inventions and products typically 7+ years prior to landing on a product road-map.
Plans and executes laboratory research.
Maintains substantial knowledge of state-of-the-art principles and theories, and contributes to scientific literature and conferences.
May participate in development of intellectual property.
May coordinate interdepartmental activities and research efforts. Typically holds a PhD.
We need someone who is collaborative and team oriented with strong written, verbal and presentation communications skills.
Link:
http://career.intel.com/tp/rj6-WsnCp-e_K
Product Marketing Manager
Intel
At Intel, our vision is: if it's smart and connected, it's best with Intel. Intel is unique, unlike any other company in the world. Intel is the only company that powers every segment of the smart, connected world-from the cloud, to the network, to the device-and everything in between. We alone have the assets to power the next generation of technologies for the world. And we alone transform these technologies into amazing experiences.
At Intel, we have committed delivering first availability of discrete GPUs (dGPU) for a variety of market segments by 2020. This is an extraordinary opportunity for an experienced individual to build the Intel mainstream discrete graphics story from the ground up, engage key customers, and drive sell in and sell out. We are looking for someone who wants to join a new and dynamic marketing team and be a driving force in helping us build something special at Intel.
The Product Marketing Manager, AI Discrete Graphics will play an important role in this transformation, with responsibility for crafting and deploying Intel’s dGPU product story for artificial intelligence, machine learning and deep learning applications and platforms.
This role requires someone who is creative, curious and strongly self-driven. You have a proven track record of success in product marketing with a passion for, and deep knowledge and experience in, graphics and AI technologies and markets. The successful candidate will also be data-driven, with relentless focus on finding and adopting new ways to use data in audience insights, activation and measurement that lead to better integrated customer journeys, stronger marketing plans and more relevant content creation. Most importantly, you are a natural collaborator and communicator who will build strong relationships across sales and marketing teams, BU partners, regional teams and business units while driving productive, efficient engagements.
Responsibilities Include:
Working cross-functionally to identify,
Link:
http://career.intel.com/tp/rj6_YlgpU_e.K
Product Marketing Manager, Mainstream Discrete Graphics
Intel
At Intel, our vision is: if it's smart and connected, it's best with Intel. Intel is unique, unlike any other company in the world. Intel is the only company that powers every segment of the smart, connected world-from the cloud, to the network, to the device-and everything in between. We alone have the assets to power the next generation of technologies for the world. And we alone transform these technologies into amazing experiences.
At Intel, we have committed delivering first availability of discrete GPUs (dGPU) for a variety of market segments by 2020. This is an extraordinary opportunity for an experienced individual to build the Intel mainstream discrete graphics story from the ground up, engage key customers, and drive sell in and sell out. We are looking for someone who wants to join a new and dynamic marketing team and be a driving force in helping us build something special at Intel.
The Product Marketing Manager, Mainstream Discrete Graphics will play an important role in this transformation, with responsibility for crafting and deploying Intel’s dGPU product story to the mainstream and prosumer markets for both desktop and mobile platforms.
This role requires someone who is creative, curious and strongly self-driven. You have a proven track record of success in product marketing with a passion for, and deep knowledge of, graphics technology and the discrete graphics market. The successful candidate will also be data-driven, with relentless focus on finding and adopting new ways to use data in audience insights, activation and measurement that lead to better integrated customer journeys, stronger marketing plans and more relevant content creation. Most importantly, you are a natural collaborator and communicator who will build strong relationships across sales and marketing teams, BU partners, regional teams and business units while driving productive, efficient engagements.
Link:
http://career.intel.com/tp/rj6.cGof6.e-K
GPU Performance Modelling Engineer
Intel
Would you like to be and work with the best GPU team in the world? Intel Visual and Parallel Computing (VPG) group is looking for world-class software engineers to join our simulator development team. Here you will work on building a performance/functional simulator from the ground up for high-performance for Gen Graphics processors designed for a variety of workloads. These simulators are a critical tool for architectural exploration and providing a reference model for validation of the GPU. In this position, you will be responsible for design, coding, validation (including performance co-relation) and maintenance of cluster level models in the GPU pipeline. The job will involve intense engagement with IP architects, RTL design and Driver teams at all stages of the development cycle. The models you build will help internal and external customers explore new GPU use-models and expand into new areas of Deep Learning, Machine learning, Media servers, Augmented/ Virtual reality, etc - this position offers unique opportunity to impact these emerging application areas.
Your responsibilities will include but not limited to:
Developing functional/performance models of graphics hardware in C++ or SystemC.
Working with Architecture/ Microarchitecture teams in performing studies on current and future generations of GPUs.
Enabling graphics driver and external OEMs to use this model.
Developing test plans, test writing and validating the reference models.
Working with the architecture, design and software teams for debugging issues and resolving them
Behavioral traits that we are looking for:
Good communications skills.
Self-motivated and passion for excellence.
Qualifications
Minimum Skills and Experience that we are looking for:
Bachelor's in Computer Science, Electrical/Computer Engineering, or related field with 5+ years of experience or Master's with 3+ years of experience or PhD with 1+ years of experience.
Your experience should be in the following:
Significant
Link:
https://jobs.intel.com/ShowJob/Id/1771401/GPU-Performance-Modelling-Engineer/
Sr Linux Graphics Engineer
Intel
Are you interested in computer graphics? Working with leading graphics engineers on Intel's latest GPU/CPU architecture? Then our Visual Technologies Team (VTT) has an opportunity for you. In VTT, our focus is on delivering Best-in-Class visual experiences that enable users to immerse themselves in a new visual future. The Software team is within VTT and our purpose is to develop software on all OS’s for Intel’s lasts GPU/CPU architecture.
If you're passionate about Linux, open source and enjoy working with leading graphics engineers on Intel's latest GPU architecture, then the Open Source Linux Graphics team has opportunities for you. We are seeking individuals with strong engineering background and experience working with open source software to join the open source graphics team to manage our 3D open source efforts and drive technical alignment with the community and open source distributions. As a Senior Graphics Engineer you will be responsible for design, development and delivery of the 3D open source driver for OpenGL and Vulkan. You will be part of the Intel Graphics team, supporting, improving, and enabling next generation technologies. You will work with various partners and the community to enhance and improve our Linux drivers in regards to overall platform support, ease of use, performance and overall delivery.
Link:
https://jobs.intel.com/ShowJob/Id/1828433/Sr-Linux-Graphics-Engineer/
3D IP Architect
Intel
Our goal within Intel Visual and Parallel computing technology Group VPG is to enable users to immerse themselves into new experiences leveraging our leading edge Graphics, Media and Display offerings. With the explosive growth in demand for solutions that scale from extreme low power Augmented Reality devices and Wearable Devices, to Smart Phones, Tablet, PC, Automotive, Virtual Reality HMD, Visual computing and Servers - Intel is in the best position to be the provider of choice for many of those markets with its in house technology. To meet the demand it will require Intel to deliver High performing scalable and power efficient solutions with the necessary HW and SW components. VPG is experiencing massive transformation and is seeking a leaders that will help shape the future of our offerings. In this position you will be responsible for definition and architecture. Tasks include identifying and quantifying requirements to crafting the architectural definition and supporting the design and validation efforts through the product lifecycle.
You will be tasked with defining a scalable architecture as products will range from high-end integrated GPUs through low-power mobile devices. This will include consideration of a wide array of performance, power, area and cost tradeoffs given the full gamut of market segment-specific requirements and workloads. Tackling these tradeoffs will require you to drive simulation development and then engage in functional, performance and power studies in order to make timely product recommendations. You will then complete the definition of solutions by generating architectural documentation, high-level design and algorithm development, and then work across the various program management, product-level architecture, micro-architecture and design/validation teams to develop and review plans and strategies which will ensure quality, performance, power, area and TTM goals are met. Ensures platform and its components have the best perform
Link:
https://jobs.intel.com/ShowJob/Id/1799195/3D-IP-Architect/
GPU Architect
Intel
Principal Engineers at Intel are active technical leaders inside and outside the company. Activities include participation in major industry and academic conferences, voting membership in international standards committees, generation of patents and technical papers.
Gen Compute Arch GCA team in the Visual and Parallel Computing Group VPG is looking for passionate and driven individuals to help define and build the next generation of highly efficient GPU architectures for Intel. The roles in GCA team include but not limited to understanding the new merging workloads for GPGPU such as Machine Learning, Deep Learning, Computer Vision, AR/VR and High Performance Computing HPC, doing performance and power modelling, workload analysis and performance debug to identify bottlenecks and drive resolution through hardware and/or software fixes. In addition, we develop highly optimized GPU kernels and work with our partner software and enabling teams to help deliver high performant solutions on our GPUs for such workloads. We also work closely with Research Labs/Academia to assess new research/algorithms in these domains and drive the most relevant innovations/features into our architecture to be competitive on such workloads. Ensures platform and its components have the best performance and power balance specifically focusing on graphics hardware components. Research and development of next generation platform designs to continually improve the performance. Conducts system analysis on proprietary and competition platforms, develops advanced hardware tuning and overclocking.
Behavioral traits that we are looking for:
o Strong verbal and written communication skills and clarity in technical communications.
o Self-starter with the ability to work independently and lead technical projects
o Work in multi-functional and cross-site groups.
o Should have an aptitude to learn new things quickly in this fast changing domain and flexibility to work on any mix of the above roles as nee
Link:
https://jobs.intel.com/ShowJob/Id/1820252/GPU-Architect/
Software Engineer
Occamzrazor
https://www.occamzrazor.com/full-stack-engineer
Link:
https://www.occamzrazor.com
Machine Learning Engineer
Odyssey Therapeutics
Invest the next generation of therapies!
Who you are:
- BS, MS, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or equivalent practical experience
- Resourceful, confident, and independent
- Incredible organizational skills and an ability to prioritize on and independently complete tasks
- Experience in one or more modern general purpose programming languages (e.g. C++, Python, Scala)
- Experience building production machine learning systems(e.g. readable, reproducible, with appropriate unit tests, and written with modern software design principles in mind)
What you’ll do:
- Develop innovative solutions to analyze biological data sets
- Build state of the art machine learning models to make inferences about the human immune system
- Work closely with bench scientists to help design studies that produce relevant data
- Publish and present your work at ML conferences and in prominent journals
What you’ve done:
- A minimum of 3+ years machine learning experience
- Experience with at least one modern Deep Neural Network package: Tensorflow, Theano, Keras, Pytorch.
- Experience with Bayesian optimization of other black-box techniques
- Experience working with biological data sets (e.g. DNA, RNASeq, Mass Spec.)
- Experience working with data pipelines (e.g. Airflow, Luigi, etc.)
- Experience with Bayesian Optimization techniques
- Proven track record of effective collaboration and communication in a cross-functional environment
- Authorized to work in the United States
Senior Data Scientist
PEAK6 Investments LLC
At PEAK6, we’re looking for creative data scientists who are excited about using ML techniques to fundamentally transform our trading business. You’ll have freedom to explore new ideas and enhance your skills as you solve the market’s ever-changing challenges. As part of a small, fast-moving team, you’ll test novel methods of attacking the firm’s open problems while staying up-to-date with recent advances in ML research.
PEAK6 is a Chicago-based proprietary trading firm with a 21-year track record of success. To apply, send your resume to gzhu@peak6.com / slin@peak6.com or use the link above. Applicants should have at least five years of experience in ML or a related technical field.
Link:
https://www.peak6.com/open-positions/?gh_jid=1320978
Data and Machine Learning Operations - Consumer Banking (R60813)
Capital One
This role within the Bank Data Sciences team is for individuals who are passionate about engineering excellence of modeling pipelines. The Deposit Forecasting and Pricing team is looking for an experienced feature pipeline and model implementation expert to support the next generation of models in Bank.
More about the role:
Productionizing feature pipelines
- Set feature pipeline standards in batch, stream, and real-time settings
- Refactor feature pipelines for faster feature changes and updates
- Implement data validation framework, and quality tests
Productionizing models
- Implement model objects in cloud based platforms
- Develop low latency model scoring
- Establish model promotion and configuration management mechanisms
- Enable enhanced model & feature versioning
- Enable system and integration testing for model deployment
Productionizing model monitoring
- Integrate with alerts and notification mechanisms
- Collaboratively develop model monitoring tools and reporting
- Experience in modern distributed computing tools such as Hadoop, Spark, and H2O
- You should know Python, Scala and are comfortable with working with multiple languages
See the job listing link above for preferred qualifications
Link:
https://www.capitalonecareers.com/job/mclean/principal-associate-data-scientist-data-and-model-operations/1732/9925950
Principal Scientist - Consumer Banking (R60340)
Capital One
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you’ll be:
- Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records
- Writing software to clean and investigate large, messy data sets of numerical and textual data
- Integrating with external data sources and APIs to discover interesting trends
- Building machine learning models from development through testing and validation to our 30+ million customers in production
- Designing rich data visualizations to communicate complex ideas to customers or company leaders
- Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
The Ideal Candidate will be:
-Curious. You ask why, you explore, you're not afraid to blurt out your disruptive idea. You probably know Python, Scala, or R and you’re constantly exploring new open source tools.
-Wrangler. You know how to programmatically extract data from a database and an API, bring it through a transformation or two, and model it into human-readable form (ROC curve, map, d3 visualization, Tableau, etc.).
-Creative. Big, undefined problems and petabytes of data don't frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.
Twenty-five years after Capital One was started it’s still led by its founder. Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.
See the job listing link above for preferred qualifications
Link:
https://www.capitalonecareers.com/job/new-york/data-science-manager/1732/9902032
2019 Data Science & Machine Learning Internship Program
J.P. Morgan
Delivering excellence at the intersection of data science, research and industry expertise, our Data Analytics team goes beyond where any bank has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing financial problems, and improve and protect our customer and client experiences every day. Whether you’re working with artificial intelligence, blockchain technology, big data, machine learning or robotics, our intrapreneurial team environment challenges our Data Scientists to push the limits of their expertise in the pursuit of impactful and commercial real world applications.
WHAT YOU CAN EXPECT
You can launch your career with us in one of several opportunities:
Data Analytics / AI Research
The Data Analytics/ AI Research teams combine cutting edge machine learning techniques with the company’s unique data assets to optimize the business decisions we make. In this role, you will develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions. You’ll use business intelligence to create predictive models and automate decision making. Our work spans the company’s lines of business, with exceptional opportunities in each.
Quantitative Research (QR) Machine Learning
Our Quantitative Research team is looking for talented graduates in machine learning and related fields who want to join the transformation of our investment bank into a data-led business. Closely embedded within the business, we drive change through innovation using state-of-the-art machine learning techniques such as collaborative filtering, deep learning and reinforcement learning. Our activity touches all aspects of the business from sales and client interaction, to risk management, inventory and portfolio optimization, electronic trading and market making
Link:
https://jpmchase.taleo.net/careersection/10140/jobdetail.ftl?job=180090415
Research Engineer - AI Research
J.P. Morgan
J.P.MORGAN ARTIFICIAL INTELLIGENCE RESEARCH
JP Morgan has a long history of recruiting and developing quantitative professionals and is a leader in applying AI and Machine Learning tools to support its clients and businesses. The goal of JP Morgan AI Research is to explore and advance cutting-edge research in the fields of AI and Machine Learning, as well as related fields like Cryptography, to develop solutions that are most impactful to JP Morgan’s clients and businesses.
The team is headquartered in New York and present in key hubs around the world. It maintains partnerships with leading academic and research institutions around the world and works with them on areas of mutual interest.
Responsibilities
Research Engineers will work with Research Directors and Research Leads that conduct primary end-to-end research typically within a specialized focus area. Research Engineers might work on multiple research initiatives and projects both internally at JP Morgan and in collaboration with external researchers such as universities. They are expected to write code, build prototypes and models, run experiments & synthesize results. They will also work with the firm’s engineering & data teams to develop the hardware and data infrastructure for research work.
Technical Skills
Bachelor or MSc degree in computer science, mathematics, statistics, or science & engineering
Programming skills (e.g., Python, C++ or Java)
Experience with ML platforms such as Tensorflow, PyTorch etc. a bonus
Experience with hands-on projects, designing experiments and implementing prototypes and proofs-of-concept
Professional Skills
Curiosity and creativity
Effective communication skills
Demonstrable ability to work in multi-disciplinary teams
Collaborative mindset and working style
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=180094978&lang=en&sns_id=mailto#.WCoULWgprlI.mailto
Research Analyst
MDA
MDA’s R&D group is looking for a bright, capable machine learning analyst who is motivated to solve challenging problems in a flexible, research-driven environment. The engineer will work with our dynamic and high-functioning research and development teams to develop innovative solutions that strategically position MDA’s technical capabilities and offerings in Canadian and selected international markets. The successful candidate combines a solid technical background with strong communication and leadership skills to develop tools and algorithms for data analysis, exploitation and fusion, and to analyze sensor system and algorithm performance.
Link:
https://jobs-ca.technomedia.com/mda/jobs.cfm?offerid=572&language=en
AI Research Scientist
Two Sigma
Apply with your resume directly at our NeurIPS application page https://careers.twosigma.com/neurips
Research Scientist in AI
As a Research Scientist in AI, you will apply general machine learning and specifically deep learning techniques to many types of problems, but particularly those with large amounts of noisy data. As part of this team you’ll remain connected to the broader research community.
Link:
https://careers.twosigma.com/neurips
R&D Software Engineer
MDA
MDA’s R&D group is looking for a bright, capable software engineer who is motivated to solve challenging problems in a flexible, research-driven environment. The engineer will work with our dynamic and high-functioning research and development teams to develop innovative solutions that strategically position MDA’s technical capabilities and offerings in Canadian and selected international markets. The successful candidate combines a solid technical background with strong communication and leadership skills to build high-performance software prototypes and tools that address critical customer problems and demonstrate our cutting-edge technological solutions.
Link:
https://jobs-ca.technomedia.com/mda/jobs.cfm?offerid=577&language=en
Quant Researcher in Machine Learning
Two Sigma
Apply with your resume directly at our NeurIPS application page https://careers.twosigma.com/neurips
Quant Researcher in Machine Learning
As a Quantitative Machine Learning Researcher, you will use the scientific method to develop sophisticated trading models, apply machine learning to vast often esoteric datasets, and partner with engineers to test complex investment hypotheses.
Link:
https://careers.twosigma.com/neurips
Software Engineer in ML
Two Sigma
Apply with your resume directly at our NeurIPS page https://careers.twosigma.com/neurips
Software Engineer in Machine Learning
As a Software Engineer in Machine Learning, you will help develop the next generation of our machine learning infrastructure. We’ve attracted engineers who possess special capabilities in a wide variety of domains in-cluding data transformation and visualization, performance optimization, cloud computing, and distributed systems.
Link:
https://careers.twosigma.com/neurips
Research Engineer
Center for Human-Compatible AI, UC Berkeley
Successful candidate(s) will be offered a 1-2 year visiting researcher scholar position at UC Berkeley to work with Professor Stuart Russell’s research group, alongside Research Scientist Andrew Critch, and with opportunities to collaborate with CHAI’s co-Principal Investigators at Berkeley (Pieter Abbeel, Anca Dragan, Tom Griffiths, Tania Lombrozo), at Cornell (Bart Selman, Joe Halpern), at Michigan (Michael Wellman, Satinder Singh), as well as with groups at Cambridge, Oxford, and Imperial College through the Leverhulme Centre for the Future of Intelligence. As global demand for AI safety research increases, we expect the experience gained from this work will be valued internationally.
The post holder will be expected to work closely with PhD students in CHAI’s UC Berkeley working group. Early examples of CHAI’s work include a recent paper on cooperative inverse reinforcement learning. With the help of a research engineer, we hope to begin exploring more multi-agent AI alignment approaches as well.
We are especially interested in applicants who can take initiative in finding ways to help out with research at CHAI. This role involves figuring out what would be helpful for the research team and then doing it.
Link:
https://humancompatible.ai/jobs#engineer
Research Scientist - Deep Learning
Clarifai
As a member of our Research Team, you will tackle research problems with non-existent solutions through a process of prototyping, implementation, measurement, and iteration. You'll work closely with members of our Applied Machine Learning team to improve models and bring products to market based on your research. You would report to our CEO.
You help us kick off work in new domains for Clarifai or add new capabilities to existing product lines. We will look to you to apply your past hands-on experience with deep learning. You will continue to learn about advances in the field by reading papers and perhaps attending conferences. Your work and knowledge about the field will directly impact Clarifai's product roadmap.
Important for the job is the ability to work in different modes:
skilled in rapid prototyping and quick experimentation
ability to write code that others can understand, adopt, and extend
Research scientists are expected to follow the best engineering practices as appropriate for the stage of work, such as tracking work in source control, giving and receiving code reviews, writing tests for your code.
We are looking for someone motivated by having their ideas and creations out in the world in the hands of users and who shares our excitement about the potential of machine learning to positively transform our world. We value a collaborative, inclusive environment and seek those who are skilled at sharing knowledge inside and outside of Clarifai.
Link:
https://clarifai.com/careers
Deep learning intern
Dolby Laboratories
Dolby’s Applied AI team is looking for an intern to participate in the development of new technologies in the area of audio and entertainment.
Sr. Data Scientist, Pricing & Inventory Models
CarMax
The primary responsibility for the pricing and inventory models team is to accurately value the unique characteristics of each individual car that we buy or sell, and also allocate those vehicles across our 150+ stores. Last year alone, CarMax sold more than 1 million vehicles, appraised over 2 million vehicles, and had $100m in weekly auto auction spend – all while dealing with constantly changing consumer demand, wholesale auction supply, and other market conditions that are often regionally differentiated.
To properly value and allocate these vehicles, our modeling experts must be able to apply statistical methods to develop predictive models that accurately and instantaneously calculate thousands of recommendations for our field associates daily. This requires the combination of a deep understanding of statistics/machine learning/other unique methodologies, the technical skills to apply that knowledge to develop and validate models, the creativity to be able to/the curiosity to want to apply it in a unique way, and the results focus and analytical ability to quickly diagnose and fix data integrity concerns as they arise.
Link:
https://jobs.carmax.com/job/8873564/sr-data-scientist-richmond-va/
PYTORCH RESEARCH SOFTWARE DEVELOPER/ENGINEER AT MILA
Mila - Quebec Artificial Intelligence Institute
Do you have the soul of a pioneer or inventor? Are you curious and eager to understand how things work? If you are a Research Software Developer or Engineer with Deep Learning skills who wishes to push the boundaries of what is possible, come to Mila and join our growing Innovation, Development and Technologies team (IDT).
This team aims to support and enable researchers in the AI field. At Mila you will be in close interactions with more than 300 of researchers working on new and fascinating research problems. The Mila’s Innovation, Development and Technologies team has already invented impactful new technologies, including the well-known Theano framework, which paved the way for the new platforms such as TensorFlow and others.
The Mila IDT team consists of passionate experts in Machine Learning (Deep Learning and Reinforcement Learning) and Software Development (programming languages, compilers, GPUs, optimization, etc.) actively collaborating with Mila researchers.
We are looking for a Research Software Developer/Engineer willing to become one of the PyTorch experts at Mila, to develop new tools adapted to the needs of researchers. Mentoring graduate students and growing the local PyTorch community. Possibility of contributing to the upstream PyTorch project.
Disclaimer: Although this position specifically targets PyTorch, Mila researchers do not work only with the PyTorch platform.
*Benefits
Stimulating and cutting-edge workplace.
Competitive salaries.
Comprehensive benefits and retirement fund.
Generous annual vacation policy.
Stimulating environment at the cutting edge of research.
Located at the heart of Little Italy, in the trendy Mile-Ex neighborhood.
More details on the provided link
Please apply at jobs@mila.quebec
Link:
https://mila.quebec/en/2018/11/pytorch-research-software-developer-engineer/
PROFESSOR IN MACHINE LEARNING AT UNIVERSITE DE MONTREAL
Université de Montréal
In connection with the grant of the Canada First Research Excellence Fund (IVADO), the Department of Computer Science and Operations Research is seeking applications for three full-time tenure-track positions (two as assistant or associate professors, and one as associate or full professor), in areas related to machine learning and its applications (e.g., healthcare, natural language processing, computer vision, robotics). The appointed candidates will have the possibility to join Mila, the largest academic research group in the area of deep learning, worldwide (see below for more info), and become an academic member of the IVADO data science community. Through their membership with Mila, the candidate(s) could also be nominated for a prestigious Canada CIFAR AI (CCAI) chair.
Responsibilities
The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in research and publication, and contribute to the academic life and reputation of the University.
Requirements
Ph. D. in computer science or in a related field.
A proven publication record, illustrating the candidate’s ability to publish influential work in top-tier venues.
Expertise in machine learning, possibly with a focus on one or more of the related areas.
University teaching and/or supervision experience.
Proficiency in French within a reasonable period of time*.
About the MILA
Mila is the largest academic research group in the area of deep learning, worldwide, bringing together faculty from U. Montréal, McGill U., École Polytechnique Montréal and HEC Montréal. Beyond deep learning, it groups machine learning strengths in reinforcement learning, optimization, graphical models, computer vision, natural language processing, robotics, and more.
More details in the provided link
Link:
https://mila.quebec/en/2018/11/professor-in-machine-learning-at-udem/
Reinforcement Learning
NetEase Fuxi AI Lab
•We construct complex neural networks to train combat AI to provide our players a much more challenging and diversified gaming experience.
•Job Descriptions
•Have you ever tired of the dumb traditional AI characters in games? In Netease Fuxi Lab, the new AI using deep reinforcement learning technology will be your challenging opponent and reliable friend in the near future.
•Through human-computer and self-combat training, AI is able to find the best winning strategy, explore different combat styles, and even imitate human’s behavior. We aim to build AIs with different difficulty level and strategy preference.
•Qualification requirements
•It would be helpful if you could have a doctor or a master degree of top universities, major in AI related subjects (e.g. image recognition and generation, natural language processing, speech synthesis, music generation, reinforcement learning, user portraits, and recommendation systems).
•We hope that you have extensive gaming experience, love artificial intelligence, and have experience in deep learning academic or engineering projects.
•You have to be proficient in at least one programming language, including but not limited to Python, Java, C/C++, C#, etc. You should be familiar with mainstream deep learning frameworks such as TensorFlow, mxnet, caffe, theano, keras, pytorch, etc.
•We also hope that you are dedicated, strive for perfection, rich in exploring spirit and be able to think deeply.
•It would be nice if you had any paper published in artificial intelligence conferences or journals. It would be better if your paper was published in top conference journals.
Link:
http://fuxi.163.com/m/en/
Research Scientist (ML/NLP)
CZI
You will
Conduct applied research and design solutions for processing scientific publications, such as author disambiguation, concept recognition, recommendation systems, enhanced search and personalized ranking systems, relationship extraction, and more
Implement, test, and evaluate applied research experiments and engineering solutions following rigorous methodology
Solicit and/or generate detailed requirements and documentation; describe the requirements for data-driven projects using ML methods
Take problems defined by business goals or customers, formulate an approach, collect and transform data, evaluate and iterate on the solutions
Work closely with Software Engineers to implement and verify solutions in a production environment
Provide reports and ad-hoc analyses that supports marketing and product design
Evaluate and incorporate ML models, algorithms and best practices from academic and industry NLP research community in order to improve the effectiveness of Meta’s content and knowledge graph features
Keep up to date with advances in ML and NLP, as related to the team’s roadmap
Contribute to the ML and NLP communities by publishing novel ML models / techniques at appropriate research conferences
You have
Comprehensive knowledge of modern and leading edge ML tools and techniques
Experience in building advanced models in one or more of the following ML fields: Recommendations, Knowledge Graph building / completion, Link Prediction, NLP and Information Extraction
Experience solving data driven problems, including problem definition, data exploration, solution proposal, implementation, testing, and evaluation
Track record of leading ML projects to produce models for use in scalable, and preferably biomedical, applications and products
Excellent coding skills (e.g., in Java, Python) with experience building models within deep learning frameworks
More here: https://boards.greenhouse.io/chanzuckerberginitiative/jobs/1442542?gh_jid=1442542
Big Data Infrastructure
NetEase Fuxi AI Lab
We build big data platforms to store, maintain, analyze and visualize the data from millions of Netease gamers as the foundation of all the future research.
Job Descriptions
•You could build big data platforms to store, maintain and visualize the data from millions of Netease gamers with us.
•You could extract valuable insights from players’ behavior to help us to better understand our players and develop big data applications (e.g. recommendation system, user persona, crowdsourcing annotation, anomaly detection, conversation content filtering, etc.) to improve game experience.
Qualification requirements
•It would be helpful if you could have a doctor or a master degree of top universities, major in AI related subjects (e.g. image recognition and generation, natural language processing, speech synthesis, music generation, reinforcement learning, user portraits, and recommendation systems).
•We hope that you have extensive gaming experience, love artificial intelligence, and have experience in deep learning academic or engineering projects.
•You have to be proficient in at least one programming language, including but not limited to Python, Java, C/C++, C#, etc. You should be familiar with mainstream deep learning frameworks such as TensorFlow, mxnet, caffe, theano, keras, pytorch, etc.
•We also hope that you are dedicated, strive for perfection, rich in exploring spirit and be able to think deeply.
•It would be nice if you had any paper published in artificial intelligence conferences or journals. It would be better if your paper was published in top conference journals.
Link:
http://fuxi.163.com/m/en/
Deep Reinforcement Learning Intern
Intel AI
Conduct research on Deep RL. Looking for an RL expert, ideally a PhD student already working in the field. Should have strong familiarity with and hands on experience implementing approaches like policy gradient methods, Q-learning, TD learning, hindsight experience replay etc.
The position involves core research involving aspects of hierarchical RL, inverse RL, data efficient training etc. targeting publications in top tier conferences. Intel AI provides a fun, startup like atmosphere with the resources of a big company and world class fellow researchers.
Interested folks please contact me with a resume listing your publications and link to your Github page if available. I will be at NeurIPS to chat about the position.
RESEARCH SOFTWARE DEVELOPER/ENGINEER AT MILA
Mila - Quebec Artificial Intelligence Institute
Do you have the soul of a pioneer or inventor? Are you curious and eager to understand how things work? If you are a Research Software Developer or Engineer with Deep Learning skills who wishes to push the boundaries of what is possible, come to Mila and join our growing Innovation, Development and Technologies team (IDT).
This team aims to support and enable researchers in the AI field. At Mila you will be in close interactions with more than 300 of researchers working on new and fascinating research problems. The Mila’s Innovation, Development and Technologies team has already invented impactful new technologies, including the well-known Theano framework, which paved the way for the new platforms such as TensorFlow and others.
The Mila IDT team consists of passionate experts in Machine Learning (Deep Learning and Reinforcement Learning) and Software Development (programming languages, compilers, GPUs, optimization, etc.) actively collaborating with Mila researchers.
We are looking for several Research Software Developer/Engineer for each topics:
-Hyperparameter Optimizations
-Visualization
-Robotics and simulations
-Data processing and access
-Debugging and compilation tools and IDE
Required skills: Python, C++, GPU, Deep Learning, Reinforcement Learning
PyTorch, TensorFlow and/or Theano or others
GPU
*Benefits
Stimulating and cutting-edge workplace.
Competitive salaries.
Comprehensive benefits and retirement fund.
Generous annual vacation policy.
Stimulating environment at the cutting edge of research.
Located at the heart of Little Italy, in the trendy Mile-Ex neighborhood.
Please apply at jobs@mila.quebec
Machine Learning Research Engineer
Qualcomm Canada
Want to becoming a member of the LPIRC (Low Power Image Recognition Challenge) winner team, located at Toronto, one of the global leading AI centers?
Qualcomm, as the world's leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices. Be a part of the R&D and System Software team, you will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system. The candidate is expected to have strong interest and deep passion on making leading-edge algorithms working on mobile/IoT/embedded platforms for the benefit of end users.
Key Qualifications:
- Passionate on understanding how and why algorithms work while developing novel algorithms and improving existing algorithms
- Proficiency in C/C++ and Python programming
- Thriving and enjoy working together as a team
- Ph.D. in ML/AI-related area
Senior Research Scientist: Computer Vision and Machine Learning
Weta Digital
Please see the details at https://careers.wetafx.co.nz/jobs/756
Link:
https://www.wetafx.co.nz
Look-dev Machine Learning Researcher
Weta Digital
Please see the details at https://careers.wetafx.co.nz/jobs/135
Research scientist
Singapore Management University
A research scientist position in the area of Urban Logistics is available at the Urban Computing and Engineering (UNiCEN) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to 2-year term.
The research scientist will be working with a research team to advance the state of the art in urban logistics, focusing on building both the optimization model and a prototype that will be ready for field trials. The candidate is expected to play an important role in co-leading the project, and interact with multiple stakeholders, including logistics providers and government authorities. Our urban logistics platform is designed to provide coordinated last-mile deliveries among service providers under a myriad of complex constraints.
Qualifications
Applicants should (almost) have a Ph.D. in Operations Research, Computer Science, or related fields at the time of application. The candidate should be proficient in Java or Python programming and comfortable with at least one optimization framework (e.g., CPLEX or Gurobi). The candidate should also demonstrate strong written and oral communication skills.
Interested applicants please contact Professor Lau Hoong Chuin at his email to arrange a time to talk to him during NIPS.
Link:
http://www.mysmu.edu/faculty/hclau/
ML Research Engineer (Document Analysis & Dialogue System)
Avrio AI, Inc.
Seeking ownership of significant ML/DL/CL/NLP projects where you can break ground scientifically while seeing your effects on the fast growth of an awesome company?
Apply a mix of deep learning, varied RNNs, some CNNs, knowledge representation, deep reasoning, reinforcement learning, transfer learning, computational linguistics, and core ML to automating the heck out of recruiting as a paradigm.
We have happy paying customers and are looking to grow the AI team.
Link:
https://avrio.catsone.com/careers/index.php?m=portal&a=details&jobOrderID=10104011&widget
Faculty Positions in ML @ KAUST
King Abdullah University of Science and Technology (KAUST)
The Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions in Machine Learning and Applications of AI. Applications at any rank and of any demographic will be considered, although female candidates and junior researchers are particularly encouraged to apply.
KAUST is seeking candidates with an established track record of research in one of the subareas of Machine Learning or Artificial Intelligence, including basic methodology (e.g. Deep Learning, Reinforcement Learning, Online Learning, Optimization, and similar topics), as well as applications in areas such as Natural Language Processing, Robotics, and Health Care. Successful candidates will have a PhD in Computer Science or related fields, as well as a strong publication record in the top-tier venues of their respective areas (e.g. NeurIPS, ICML, ICLR, AAAI, ACL, AISTATS, CoRL, ICRA, IROS, COLT, JMLR, IEEE/SIAM journals).
Senior candidates must have demonstrated strong leadership in the field. Successful candidates will be appointed within the Computer Science program, but will have the opportunity to engage widely with other programs (including Statistics) as well as KAUST research centers.
These positions are part of a strategic expansion of KAUST in Machine Learning and Artificial Intelligence to complement existing strengths in Bioinformatics, Supercomputing, and Visual Computing. Additional faculty positions will be available in future years under this initiative. The KAUST Computer Science program offers a unique combination of an intellectually stimulating environment and access to world-class facilities, including KAUST’s 5 Petaflop/s Shaheen-2 supercomputer. KAUST's unique funding and organizational structure allows faculty to prioritize their research program over other professional activities.
More info here: https://apply.interfolio.com/58109
Link:
https://apply.interfolio.com/58109
Postdoc & Research Scientist Positions in Machine Learning
King Abdullah University of Science and Technology (KAUST)
I have several postoc & research scientist positions open in my ´Optimization and Machine Learning´ lab at KAUST.
Requirements: PhD in CS, mathematics or a related discipline. Outstanding academic track record.
Conditions:
- Flexible starting date
- Flexible duration (1-3 years for postdocs; can be more for research scientists)
- Excellent conditions
- Wonderful and safe work-play-live environment
Application procedure: Send me a cv and a motivation letter (via email). Should your appplication be shortlisted, I will ask for additional materials (e.g., reference letters, copies of publications).
Link:
https://en.m.wikipedia.org/wiki/King_Abdullah_University_of_Science_and_Technology
Senior Data Scientist
Canvass Analytics
Who you are
You are a Data Scientist with a powerful combination of academic and practical experience. You may be a Machine Learning Engineer looking for a step up or a Data Scientist working in the industrial, health or finance sector and you want to join a fast-paced, responsive, leading-edge scale-up. You are excited by the chance to support both high volume big data training of models, as well as working with real time streaming data, edge analytics, working with those types of technologies. From theory to building out the architecture, you have the skills, the innovation and the drive to be an active player on our team. You are ready to step up the challenge of finding solutions in a world where there isn’t an answer out there and your ability to synthesize and formulate will bring about the ideas and concepts to test and try.
What’s in it for you
You want to join a company that’s at the forefront of cutting-edge technology and you want the autonomy to research and experiment. You want to be part of a cross-functional team of Developers and Machine Learning Engineers working together to build an AI Analytics platform. You want to solve the unique problems we are facing and design algorithms for use cases we see in this space.
Our new Senior Data Scientist has:
The education. You have a Masters or Ph.D. in Mathematics.
The experience. You have expertise in building and deploying AI-based models. An Industrial background would be nice to understand what we’re trying to solve.
The passion. You are continuously researching, prototyping and testing.
The communication skills. You can build strong collaborative relationships and work closely with teammates across different departments. You have the verbal and written skills to clearly and confidently express your ideas and your thought process to clients, succinctly translating complex, technical language to tangible business concepts.
Evolve with us.
Assistant Professor in ML
Virginia Tech
Virginia Tech’s Department of Computer Science is hiring an assistant professor with expertise in machine learning. See the link for the full job posting. I’ll be at the conference all week if you want to discuss the position.
Link:
https://www.cs.vt.edu/content/dam/website_cs_vt_edu/hiring/AssistantProfessorAIML.pdf
Research Internships @ KAUST
King Abdullah University of Science and Technology (KAUST)
I accept interns throughout the year to work in my group 'Optimization and Machine Learning'. Interns should be final year undergraduate or graduate students; with outstanding academic standing as evidenced by GPA, prizes, awards, quality of their institution, and so on. Prior research experience is not necessary.
Internship duration: 1-6 months.
Stipend, accommodation and flight tickets are provided.
Internship projects are to a significant degree tailored to the background and interest of successful applicants.
If interested, send me an email, explain why you are interested and include your CV and transcript of grades.
Link:
https://www.kaust.edu.sa/en
Autonomous Driving Perception Data and SIT(System Integration and Testing) Engineer
Qualcomm
We are looking for talented engineers to plan and testing 2D / 3D perception algorithms for autonomous driving.
You will be working on
1. Planning and processing data for perception algorithms.
2. Designing and implementing evaluation for perception algorithms.
Close collaborations with teams in San Diego are expected.
Minimum Qualifications
-Knowledge on computer vision or machine learning.
-Proficiency in Python.
-Good communication and presentation skills.
Preferred Qualifications
-Proficiency in Linux
-C/C++ Experience on CI(continuous integration) system
-Hands-on experience with deep learning tools such as Caffe TensorFlow and PyTorch
-Related experience with autonomous driving
Computer Vision and Machine Learning Research Engineer for Autonomous Driving
Qualcomm
Job Overview
We are looking for talented engineers with experience in computer vision or machine learning in order to enable the vehicle to perceive, build, and react its surrounding environment.
The responsibilities of this job are as follows:
-Research on deep learning / 3D computer vision
-Design and implement 2D / 3D perception algorithms based on vision sensors
-Collaborate with teams in San Diego for positioning, sensor fusion, and path planning
Minimum Qualifications
-Strong understanding and experience of deep learning for perception / 3D computer vision for localization and mapping
-Good programming skills in C/C++
-Good communication and presentation skills
Preferred Qualifications
-Experience with radar and LiDAR sensors
-Related experience with autonomous driving
-Required: Master's or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering
-Preferred: Doctorate or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering
*LI-APAC
Computer Vision and Machine Learning SW Engineer for Autonomous Driving
Qualcomm
We are looking for talented SW engineers to realize 2D / 3D perception algorithms for autonomous driving. You will be working on designing, implementing, and optimizing software for 2D / 3D perception on various platforms. Close collaborations with teams in US are expected
Minimum Qualifications
-Proficiency in C/C++
-Strong understanding and experience of software development on various platforms
-Good communication and presentation skills
Preferred Qualifications
-Proficiency in Linux
-Good understanding of various SW technologies (design pattern, data structure, database, and network)
-Hands-on experience with deep learning tools (Caffe, TensorFlow, and PyTorch)
-Hands-on experience with GPU programming (CUDA or OpenCL)
-Basic knowledge of computer vision and/or machine learning
-Related experience with autonomous driving
-Required: Master's or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering
-Preferred: Doctorate or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering
Scientist Positions at Baidu Big Data Lab
Baidu
We are looking for AI scientists at all levels: senior tech leader, scientists，post docs, and interns. If interested, contact Luke Huan directly huanjun@baidu.com with a copy of your CV.
Postdoctoral fellow in deep learning and biomedical research
Montréal Heart Institute
We are seeking applications from motivated candidates to join our team at the Montreal Heart Institute (MHI) research center affiliated to Université de Montréal, led by Julie Hussin. The successful postdoctoral fellow will carry out research in a highly collaborative environment, developing and applying deep learning methods to combine different types of biomedical and genomics data in the context of personalized medicine of cardiovascular disease. The research will be done in collaboration with the Montreal Institute of Learning Algorithms (MILA) and is funded by IVADO (https://ivado.ca).
Link:
https://mhiomics.files.wordpress.com/2018/08/postdoctoral_position_deepomics.pdf
Assistant/Associate Professor in Machine Perception
Virginia Tech
The Bradley Department of ECE at Virginia Tech seeks applications for a tenured/tenure-track position at the rank of Assistant or Associate Professor, specifically in the area of perception for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy.
Link:
https://listings.jobs.vt.edu/postings/90165
Machine Learning Scientist - Cancer genomics, NLP
Human Longevity Inc
Human Longevity Inc. is seeking a Machine Learning Scientist to join a core team of Cancer Machine Learning in Mountain View, or San Diego. The team works in close collaboration with world-class Cancer Scientists in San Diego to build integrated software applications for cancer data. We perform advanced data analysis and integration of somatic calling, RNA-Seq, structural and other multi-omic data; build machine learning models and software applications that provide information relevant for cancer treatment.
Primary responsibilities include:
rapid prototyping of machine learning algorithms using genomic and text data, validation of the algorithms, deployment of code.
Tasks and Responsibilities
Relevant projects the team is involved in and minimum requirements for each are listed below:
• Advanced data analysis and integration of somatic variant calling, RNA-Seq and structural variant calling workflows into HLI software. Data processing, cleaning and analysis skills are required.
• Integration of cancer annotation sources and other multi-omic data. Data processing, cleaning and analysis skills are a requirement.
• Development and deployment of machine learning models and software applications that provide information relevant for cancer subtypes and underlying biology and cancer treatment. Machine learning and Deep Learning skills are required.
Key Attributes
• A fast learner who is excited to drive innovation in the junction between software, genomics and healthcare
• Desire to apply your skills in the service of a greater mission improving patients care
• Ability to work independently and deliver tested stand-alone components • Hard working and a self-starter
Minimum Qualifications (must have)
• MS or PhD in a quantitative or computational field such as Computer Science, Machine Learning, Statistics, Bioinformatics or related field
• 2+ years of industry/academic experience in prototyping machine learning algorithms.
Link:
https://www.google.com/search?q=human+longevity+jobs&ie=UTF-8&oe=UTF-8&hl=en&client=safari#fpstate=tldetail&htidocid=C9hI657Q1qynHmDeAAAAAA%3D%3D&htiq=human%20longevity%20jobs&htivrt=jobs
Tokyo & Berkeley: Researcher positions in ML/CV/Robot...
Preferred Networks
Preferred Networks a startup with ~180 members based in Tokyo, known for the development of Chainer, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare.
Recently, we unveiled a personal robot system by exhibiting fully-autonomous tidying-up robots. https://projects.preferred.jp/tidying-up-robot/en/
We have a strong emphasis on research in various fields and continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
*** Invitation-only casual dinner is open on Monday. Please contact if you're interested. ***
Link:
https://www.preferred-networks.jp/en/jobs
Machine Learning /NLP-Research Scientist/ Engineer
Moody's
As a Machine Learning / NLP - Research Scientist / Engineer in the Machine Learning team, you will conduct ML R&D and drive algorithmic improvements in Moody's Analytic’s core machine learning and AI-driven products, that have a transformative impact across multiple MA units.
The Machine Learning / NLP- Research Scientist will be a core member of the Machine Learning team, comprised of PhDs and experts in ML AI. The ML team is a highly visible team working across multiple business lines that is key to the Moody’s Analytics’ (MA) long-term growth strategy using AI and ML.
Responsibilities
Do research on emerging machine learning, deep learning and NLP solutions applied to natural language (text) and unstructured data
Enable new capabilities in document understanding and knowledge extraction from text using state-of-art deep learning techniques and frameworks.
Link:
https://careers.moodys.com/jobs/13964BR-machine-learning-nlp-research-scientist-engineer-new-york/
Data Scientist
Commonwealth Computer Research
Do you like to look at data sets to find trends and tendencies? Do you like dealing with complex, multi-variable problems using cutting-edge analytics? CCRi is looking for smart, innovative data scientists. We conduct research and development in data mining and machine learning techniques to solve complex problems and then implement scalable solutions in data-driven environments.
Tools we use:
Statistical Computing: R, NumPy, SciPy
Modern Programming: Python, Scala, Java, C++,
Machine Learning Sub-Specialties: graph analytics, natural language processing, computer vision
About You: You’ve got a year or more of professional engineering under your belt or you have compelling personal projects grounded in machine learning. Ideally, you have a bachelor’s in Computer Science, Systems Engineering, Statistics, Mathematics, or a related field. You are comfortable in at least one modern language and have some familiarity with a second language or computing tool (e.g., Python, R, Matlab, Java, Scala).
Link:
https://www.workable.com/j/6919D7E0E6
RESEARCH SCIENTIST - MACHINE LEARNING & AI
Zalando
ABOUT THE TEAM
Department: Zalando Research
Reports to: Research Head
Team Size: 15
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets.
We're Zalando’s incubator for bold scientific experimentation. Machine Learning & AI are our research fields; including today's most exciting topics, such as Deep Learning, Computer Vision & NLP, Large Scale Bayesian Inference, Reinforcement Learning, Causality.
WHERE YOUR EXPERTISE IS NEEDED
Re-imagine fashion for the good of all and drive Zalando-scale innovation through academic research and cross-team collaboration.
Your work will be use case inspired basic research, enabled by your expertise, by Zalando‘s vast data pool, and by our excellent high performance computing infrastructure. Your developments will power Zalando‘s next gen data products. Your research results will enhance your publication track record in the most exciting international academic community.
WHAT WE’RE LOOKING FOR
PhD degree in Machine Learning, NLP, Computer Vision, Data Mining, or similar field
3-5 years of proven experience in academic research or comparable research environment
Strong publication record in top-tier research conferences and journals
Deep understanding of theory behind state of the art Machine Learning methods in your domain, broad overview of Machine Learning methods, as well as knowing best practices in their application
Experience as a speaker at scientific conferences or public scientific meetups
Proven experience in leading Machine Learning research projects in a postdoc position
Software engineering skills for prototype development and implementation of experimental setups
See https://jobs.zalando.com/jobs/690125-research-scientist-machine-learning-ai/ for further details
Link:
research.zalando.com
AI Research Scientist
Bloomberg
Click link above to learn more about our AI team!
Bloomberg donates over 80% of our profit to charity every year. Join a company dedicated to saving and improving lives around the world.
Link:
careers.bloomberg.com/job/detail/62503
Lead Data Scientist
Novartis
Are you interested to contribute and deliver on our CEO’s vision to become the leading pharmaceutical company powered by data and digital?
You will be the Lead Data Scientist in Predictive Analytics and Design and accountable for leading and driving data science and advanced analytics for priority business problems across Novartis Global Drug Development with a focus on explorative applications of machine learning, deep learning and artificial intelligence.
Predictive Analytics and Design works to develop strategy and deliver high priority data and advanced analytics solutions that bring the latest innovation to all functions in Development. This position is for a significantly experienced senior data scientist used to working at senior levels on consulting-like projects that demonstrate business value then grow further as a result of their impact. Your work will be significant towards the Novartis CEO’s vision to become the leading pharmaceutical company powered by data and digital.
Lead data science activities for complex, enterprise-wide advanced analytics programs:
• Work with relevant partners to scope data science requirements: needs identification, hypothesis generation, data discovery and methodology proposal
• Select innovative methods including machine learning, deep learning, other cognitive computing methods and artificial intelligence
• Rapidly prepare relevant data and prototype appropriate models
• Run exploratory analytics to identify trends, patterns or process drivers
• Drive the creation and execution of the data science sections of project plans for advanced analytics projects, partnering with peer Global Program Directors to contribute to the overall project strategy
• Guide internal and external partners in designing, developing and running data science for advanced analytics programs
• Help supervise external data science consultants and vendor engagements
• Support User Experience Design
Link:
https://www.novartis.com/careers/career-search/job-details/246857BR
ML scientist (NLP, speech)
Capital One
The Card ML team is working to transform every corner of our business with machine learning. To accomplish this goal, we use the latest techniques in machine learning - deep learning, reinforcement learning, genetic algorithms, and natural language processing - and marry them with real-time streaming data in the cloud, to create best-in-class enterprise-scale ML products. We tackle a huge variety of business problems and work with vast quantities of data of every kind.
As an ML Scientist at Capital One, you’ll be joining a nascent research group that’s part of driving the next wave of disruption using the latest technologies to unlock the big opportunities that help everyday people save money, time and difficulty in their financial lives. We do machine learning research and product development differently at Capital One. ML scientists aren't siloed in the lab, but instead partner closely with Software Engineers, Product Managers, and business stakeholders, to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from academic partnerships with world-class institutions. NLP and Speech Scientists work on building state of the art speech recognition in noisy environments, building models and deriving insights from customer interactions, and enabling products that support our agents and help customers complete tasks via natural language conversation. In this role, you will apply your expertise in NLP (extraction, summarization, classification, understanding, generation), machine learning or speech processing, to inform a research group’s agenda and drive critical business outcomes. You stay connected to the wider research community as an active contributor.
We also have senior positions available.
Link:
https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/McLean-VA/Machine-Learning-Scientist--Natural-Language-Processing_R60027
Deep Learning Researcher
Hudson River Trading
HRT understands that deep learning has the ability to shape the future of our field and as such, we are invested in not only building out a team of the best and brightest deep learning researchers, but also providing them with the freedom to explore and pursue their own ideas. As a deep learning researcher on our Algo Labs team you will work with vast amounts of market data to research and test your theories as a part of HRT’s live trading strategies. Deep learning researchers will put theory into practice almost immediately, and will impact the landscape of global financial markets.
Leaders at HRT are coders, mathematicians, and researchers which means that our environment is collaborative and academic. We encourage idea sharing and use of the most cutting edge technology. Like the rest of HRT, the Algo Labs team uses standard open source tools (TensorFlow, Keras). We also understand that deep learning, especially with the low latency which we require, presents unique technical challenges and we are not afraid to invest in building our own infrastructure. Additionally, as a deep learning researcher you will work alongside the best in the field in optimization and other machine learning areas as well as financial experts, exposing you to a variety of different backgrounds and skill-sets to add to your research.
The Skills
- Demonstrated research or work experience in the field of deep learning.
- A track record of successful results as demonstrated by published papers, awards, grants, and/or patents.
- Experience with software engineering in Python and C++.
The Profile
- PhD (or currently pursuing) in Computer Science, Mathematics, Statistics, or a related field.
- Capable of working independently as well as part of a team.
- Able to analyze and fix problems quickly.
- Able to learn quickly and apply new skills effectively.
Link:
http://www.hudson-trading.com/careers/job/?gh_jid=940856
HRT AI Labs (HAIL) Fellowship
Hudson River Trading
HRT has greatly valued artificial intelligence research since its inception in 2002. This year, we are pleased to announce the inaugural HRT AI Labs (HAIL) Fellowship, created to recognize outstanding graduate students conducting exemplary research in artificial intelligence and related fields.
Eligibility
- Must be a PhD student in the US conducting research in artificial intelligence or a related field.
- Students must be in their second, third, or fourth year of an eligible PhD program when they apply.
- Students must be enrolled full-time through the end of 2019.
- Preference will be given to students whose work is related to one or more of the relevant disciplines (see research areas below).
Applications must include
- Your resume or CV, with email, phone, and mailing address.
- A one- to two-page thesis proposal which clearly identifies your area of focus.
- Two one-page letters of recommendation, one of which must be from an academic advisor. Please include an email address for each reference.
- Incomplete applications cannot be considered, and notification of incompleteness will not be made.
Benefits
- If you are selected to be a Fellow, you will be allocated up to $15,000. You can use it to pay for research expenses like conference travel and cloud compute credits.
- Fellow will also participate in a paid full-time research internship with HRT AI Labs in NYC during Summer 2019.
- During the summer internship, you will focus on your thesis research, and we will give you resources to advance it. If you are interested, you can work on HAIL research projects part-time as well.
How to apply
- All applications must be submitted as a PDF to fellowships@hudson-trading.com.
- The application deadline for the HAIL Fellowship is December 21, 2018. We will review applications and conduct interviews on a rolling basis.
- Due to the volume of submissions, HRT cannot provide individual feedback on applications that do not receive Fellowship awards.
Link:
http://www.hudson-trading.com/fellowship/
Postdoc/Research scientist
Rice University
Know C++ and machine learning
Or strong in math/probability
(it's better if you have both)
let's chat about the projects. Basically build next generation deep learning algorithms/systems.
Good Salary + Houston is a great city with 12 months of bbq weather.
2 Postdocs in Machine Learning Theory
Istituto italiano di tecnologia
2 Postdocs in machine learning theory at Istituto Italiano di Tecnologia in Genoa, Italy.
More info here:
https://www.iit.it/careers/openings/opening/751-1-postdoctoral-position-in-machine-learning
https://www.iit.it/careers/openings/opening/827-1-postdoctoral-position-on-machine-learning
Feel free to stop by at our posters to know more about the positions.
Please apply by Jan 15, 2019.
Massimiliano
Machine learning researcher / intern / student (video games R&D)
Ubisoft
Ubisoft La Forge is a prototyping space where ideas on technology, originating from a collaboration between university research and production teams, are brought to life. We cover a broad range of research topics, with in particular many AI-related applications, in e.g. reinforcement learning, speech / audio, animation, rendering, software engineering, and more...
If you love ML & video games, I’d love to hear from you! We’re looking for:
- Full time researchers looking for exciting projects applied to video games production
- Interns (5+ months) willing to get some hands-on industry experience in a fun & rewarding environment
- Master / PhD students in the Montreal area who’d like to spice up their research projects with access to our data, games and internal experts (various funding and duration options are possible)
Interested? Want to know more? Poke me through the app or send me an email, and let’s have an informal chat during NeurIPS! And if you’re too busy this week, don’t hesitate to contact me later as well :)
Link:
https://montreal.ubisoft.com/en/our-engagements/research-and-development/
PhD positions in ML
Rice University
Several PhD positions available at Rice University in machine learning.
feel free to drop a message to know more.
located in the heart of 4th largest city in US with a beautiful campus, America's best neighborhood to live in (https://www.chron.com/news/houston-texas/houston/amp/West-University-named-America-s-best-City-To-Live-13327276.php) with 12 months of bbq weather.
Reinforcement Learning Scientist
Blue River Technology
Position Description
We are seeking a highly skilled Reinforcement Learning Scientist to join our world-class research and engineering team. They will focus on bringing cutting edge research out of academia and into working demo and production prototype systems. We are seeking a Reinforcement Learning Scientist to join an exciting new program that sits at the intersection of agriculture, machine learning, and robotics. Details are confidential but, similar to Blue River’s existing See & Spray product, this program has tremendous potential to help farmers, to shape global farming practices, and to have a major impact on one of America’s most iconic brands.
Responsibilities
Work on developing the fundamentals of machine learning applied to control systems on hardware
Execution:
- Responsible for advancing the state of the art in learning based control systems
- Rapidly explore many different methods to weigh pros and cons
- Identify the best tools for the task and apply those techniques
- Implement new methods and advance the state of the art
- Digest papers, conference proceedings, books, classes for new methods
- Create plans and schedules, track progress and provide educational material and frameworks to fellow engineers and product managers
Coordination:
- Work closely with Engineering/Product Managers to develop paths for meaningful research direction
- Excellent brainstorming, creative thinking, mathematical analysis, and communication skills
- Desire to teach others
Qualifications
- Strong skills in Python, C++, Tensorflow, PyTorch, Bullet, Linux
- Creative problem solving, Systems thinking
- Up to date on current research papers in machine learning
- Deep Learning, Reinforcement Learning, Math, Classical Controls
- Extra: Experience with Hardware
Education
- Masters in Computer Science or similar discipline
Link:
http://careers.bluerivertechnology.com/
Machine Learning Engineer
Blue River Technology (A John Deere Company)
Position Description
We are looking for a highly skilled and energetic person to play a key role in improving and supporting our revolutionary robotic and vision-based systems for agriculture. You will be joining a world-class research and engineering team to provide critical skills in improving existing systems and pushing the boundaries of this technology. We provide a high degree of autonomy - you will have the opportunity to influence the development and implementation of our world changing products. The role will include work in the following areas:
- Implementing deep-learning-based classification systems for identifying, characterizing, and classifying plants
- Exploring and developing new methods for improving detection performance and increasing the speed of processing
- Working with internal customers to develop machine learning pipelines for computer vision based classification tasks
- Helping to architect and develop the data pipeline and platform supporting machine learning
The position will be based at our company headquarters in Sunnyvale, CA, and will require occasional travel to the Midwest.
Requirements
- M.Sc. or Ph.D. in Computer Vision or Machine Learning
- 5+ years developing algorithms and solving problems in computer vision and machine learning
- 3+ years in developing machine learning systems, with extensive experience on deep learning systems
- Advanced proficiency in C++, Python, or related tools and system SW architecture
- Attention to detail and ability to work independently
- Excellent communication and teaming skills
• Passion to solve difficult problems
Preferred Qualifications
- Experience in implementing and improving deep learning systems and moving to real-time processing on embedded hardware
- In-depth knowledge of deep learning frameworks including Tensorflow, PyTorch, MxNet, Caffe, Caffe2
- Hands-on work on managing and doing GPU-based computing on large data sets
Link:
http://careers.bluerivertechnology.com/
Head of ML & Comp. Sustainability
Cervest
- Strong links with Imperial (Math/Stats) and Warwick (Stats/CS).
- Very well funded “stealth-mode” startup.
- Advised and managed by world-leading industry experts.
- Bayesian non-parametrics, sequential spatiotemporal inference and decision making under uncertainty.
- Making sense of extremely large bio-climatic and environmental data.
- Get in touch to arrange an informal chat at NeurIPS.
Link:
www.cervest.earth
Educational Content Curator
Educational Content Curator
Educational Content Curator
Blue River Technology (A John Deere Company)
Build relationships with computer science departments at universities. Engage the students with educational content and information about Blue River / John Deere. This deep engagement and bringing high quality information to the students allows them to see the challenges they could be working on and the engineers they would be working with.
Build educational content. Help curate educational content around machine learning, computer science, and robotics from external sources and internal sources to help engineers solve some of their hardest problems.
This program has tremendous potential to help build teams to shape global farming practices, and to have a major impact on one of America’s most iconic brands.
Responsibilities:
Leadership:
- Build/manage relationships with computer science departments at universities
- Build a vision and program for how computer science education should be delivered most effectively
- Help build a community where people engage with educational materials
- Facilitate technical mentorship opportunities and introduce engineers to new resources
Execution:
- Responsible for taking ownership of professional development materials
- Responsible for making connections within schools and setting up visits of presentations and lectures
- Curate, distribute, track educational materials
Coordination:
- Work closely with engineers to develop educational content that can be spread company wide
- Facilitate transfer of knowledge programs between platforms
Qualifications:
- BS Degree in technical field
- Familiarity with computer science programs and material
- Expected travel to universities and company sites for educational material capture
- Experience taking ownership of a large project
- Ability to connect with technology and help tell a technologist’s story
- Knowledge of available educational materials in computer science
- Ability to engage with students, professors, university administrators
Link:
http://careers.bluerivertechnology.com/
Statistical/ML scientist in Sustainability
Cervest
- PhD (very strong MSc considered)
- Strong links with Imperial (Math/Stats) and Warwick (Stats/CS).
- Very well funded “stealth-mode” startup.
- Advised and managed by world-leading industry experts.
- Bayesian non-parametrics, sequential spatiotemporal inference and decision making under uncertainty.
- Making sense of extremely large bio-climatic and environmental data.
- Get in touch to arrange an informal chat at NeurIPS.
Link:
www.cervest.earth
Research Engineer - Probabilistic Design
GE Global Research
See link for full job posting.
As a member of the probabilistic design team in the Probabilistics Lab, you will contribute to the development of state-of-the-art probabilistic methods and engineering design tools, applications of optimization, uncertainty quantification, robust design, engineering analysis model validation for GE aviation, transportation, healthcare, oil and gas and energy.
Essential Responsibilities:
* Collaborate with GE business design communities in the development of methods for probabilistic design and optimization.
* Apply probabilistic design and optimization methods to problems in mechanical structures and systems under uncertainty to optimize performance, weight, cost and/or computational time
* Implement probabilistic design and optimization methods into probabilistic design tools. Deliver easy-to-use tools for engineers to solve practical problems with improved accuracy and reduced design cycle by linking analysis tools such as commercial solvers, in-house codes, etc with probabilistic tools to automate the solution process
Qualifications/Requirements:
* Doctorate degree in Mechanical Engineering, Aerospace Engineering, or related discipline OR Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline with at least 5 years industrial experience
* Experience in probabilistic design and/or optimization of mechanical system
* Fundamental knowledge in statistical methods, probabilistic methods and optimization applied to engineering design problems
* Fundamental understanding of solid mechanics and tools used in structural analysis such as ANSYS or similar FE software
* Ability to develop, modify and utilize custom computer codes in various languages such as C++, Fortran, Matlab, Visual Basic, Perl, R, etc.
* Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening
Link:
https://jobs.gecareers.com/ShowJob/Id/49518/Mechanical-Engineer-Probabilistic-Design/
Research Scientist - Signal Processing
Analytics 4 Life
Analytics 4 Life®’s goal is to transform healthcare with digital technology – beginning with coronary artery disease.
Role Description:
- Drive cutting edge research with a primary focus in signal processing, with secondary focuses in artificial intelligence, machine learning, data analytics and mathematics, applied to challenging medical datasets.
- Produce high-quality software and documentation supporting your research.
Minimum Qualifications:
- PhD or MSc in an appropriate technical field such as Engineering, Computer Science, etc.
- A proven track record, as demonstrated with peer-reviewed publications and open-sourced software (e.g., GitHub), of high-quality science, preferably relevant to the role description.
- Programming experience in high-level languages such as Python, Matlab, R.
- Ability to produce work outputs in accordance to an agreed-upon timeline.
- Persevere enthusiastically and passionately when faced with obstacles.
Preferred/Desired Qualifications:
- An educational or work background in biosignals such as electrocardiogram, electroencephalogram, electromyogram.
- Experience with non-linear systems, dynamical systems, control theory.
- Basic experience with high-performance computing technique (CPU, GPU parallelization), cluster/cloud deployment.
Link:
https://www.analytics4life.com/
Machine Learning Engineer
Expedition Technology
Expedition Technology Inc. (EXP) is seeking strong candidates from junior through senior levels, with 2+ years experience with machine learning approaches and concepts, particularly deep learning. Experience in some of the following areas is very useful:
Computer vision
Pattern recognition
Deep learning
Navigation
Radar
Lidar
Advanced image and video processing
Data science and analysis
Successful applicants will support a range of programs and roles, potentially including a combination of conceptual R&D, product development, project management, team leadership, customer engagement and new business development. Occasional travel may be required. Candidates must have a Bachelor’s degree or equivalent in a relevant field of study. Advanced degrees are strongly preferred.
U.S. citizenship is required for this position as is the ability to obtain a U.S. security clearance. Current security clearance preferred.
EXP is an employee-owned defense and aerospace technology company seeking scientists and engineers who enjoy tackling challenging problems. We offer our employees the opportunity to learn, take risks, and benefit from the rewards. We operate a collaborative atmosphere and offer an outstanding benefits package.
Link:
https://www.exptechinc.com/pages/careers/
Machine Learning Researcher
DarwinAI
WHO WE ARE
DarwinAI is a cutting-edge Artificial Intelligence startup based in Waterloo, Ontario. Our technology, stemming from years of scholarship by our academic team from University of Waterloo, uses ‘AI to build AI’ in order to: 1.) dramatically reduce the size of deep learning neural networks while maintaining functional accuracy and reducing inference time; 2.) facilitate ‘explainable’ deep learning: the ability to understand why a network makes the decisions it does.
WHO WE ARE LOOKING FOR
We live at the very edge of deep learning scholarship and are in need of a talented research scientist to help us develop our next wave of innovations. As a key member of our research team, you’ll work with equally brilliant academics (winners of best workshop paper awards at NIPS 2016 and 2017), to advance and explore novel ideas in the areas of deep learning optimization and explainability, as well as other features connected with our Generative Synthesis platform. In addition, you’ll work closely with our development team to ensure these ideas are implemented robustly and efficiently. You have the opportunity to publish your research as academic papers (i.e., several of our team members are presenting their research ideas at NeurIPS 2018)
REQUIREMENTS
Our ideal candidate possesses:
PhD in Computer Science, Machine Learning or a related technical field.
Strong theoretical foundation in machine learning, deep learning, and artificial intelligence techniques.
Experience in at least one of the following areas: natural language processing, computer vision, speech recognition.
Practical experience with at least one of the following deep learning libraries: Tensorflow, Pytorch, Caffe/Caffe2.
Solid publication record in a relevant area.
Programming skills in Python, C, C++.
Excellent teamwork and collaboration.
Flexibility in working across all functions and levels as part of a team.
Link:
darwinai.ca
Machine Learning Practitioner
DarwinAI
WHO WE ARE
DarwinAI is a cutting-edge Artificial Intelligence startup based in Waterloo, Ontario. Our technology, stemming from years of scholarship by our academic team from University of Waterloo, uses ‘AI to build AI’ in order to design deep neural networks where 1.) dramatically reduce the size of deep learning neural networks while maintaining functional accuracy and reducing inference time; 2.) facilitate ‘explainable’ deep learning: the ability to understand why a network makes the decisions it does.
WHO WE ARE LOOKING FOR
Our team, which is composed of a blend of academic and enterprise talent, is in need of deep learning practitioners to help our customers on-site as they develop their models. As a key member of our team you’ll operate at the ‘front line’. That is, you’ll work directly with our clients to implement our AI-Building AI platform in their environments. You’ll rapidly appraise their deep learning workflows in order to integrate our engine in the pipeline and deliver initial proof of concepts. Design different state of the art deep neural networks on different applications such as computer vision, NLP, speech recognition and finance. Finally, you’ll help us construct compelling demos to showcase our platform to prospective customers. This is your chance to familiarize yourself with these technologies by working at the cutting edge of the field with research team that’s won numerous awards in the field (including best workshop papers at the prestigious NIPS conference in 2016 and 2017).
Link:
darwinai.ca
Senior Machine Learning Engineer
Bose Corporation
Would you like to use your Machine Learning (ML) skills to solve real world problems and improve people’s lives? The Wellness Division at Bose develops innovative products and user experiences that improve sleep, physical health, mental wellbeing and hearing. We are looking for talented Senior Applied Machine Learning Engineers to help us develop the algorithms, applications, and platforms that will deliver positive change to our customers’ health and wellbeing. This is a unique opportunity to shape the products and experiences that millions of people will use to improve their quality of life.
Job Description
You will join Bose's new and growing Wellness Data Science group based out of our new Boston Landing location. The mission of this group is to leverage world-class data science, machine learning, and cloud-connected technologies to envision and develop algorithms, and deploy them into compelling, engaging, and personalized user experiences within Wellness products.
You will be responsible for optimizing and integrating machine learning algorithms into concept prototypes and hardening these prototypes into production-grade applications.
Specific tasks may include developing ML software libraries, cloud web services and mobile applications that incorporate machine learning algorithms into prediction, recommendation, classification, and similar use cases.
Basic Requirements
MS or PhD degree in Computer Science, Software Engineering, or related fields.
5+ years of experience in designing, architecting, and developing production-quality machine learning applications spanning multiple domains (speech, audio, text, sensors.)
3-5 years of programming experience in at least two of the following: Java, C++, Python, or Scala.
Proven expertise in practical applications of Machine Learning and shipping algorithms into production-grade, end-to-end applications.
Link:
https://boseallaboutme.wd1.myworkdayjobs.com/Bose_Careers/job/US-MA---Boston-Landing/Senior-Machine-Learning-Engineer_R11434
Senior Data Scientist
Bose Corporation
Would you like to use your Data Science skills to solve real world problems and improve people’s lives? The Wellness Division at Bose produces innovative products and experiences that improve sleep, physical health, mental wellbeing and hearing. We are looking for talented Senior Data Scientists to help us develop the scientific insights and state of the art algorithms that will deliver positive change to our customers’ wellbeing.
Job Description
You will join Bose's new and growing Wellness Data Science group based out of our new Boston Landing location. The mission of this group is to leverage world-class data science, machine learning, and cloud-connected technologies to envision and develop algorithms, and deploy them into compelling, engaging, and personalized user experiences within Wellness products.
You will be responsible for helping drive applied research by conceiving, building and benchmarking machine learning algorithms for Wellness applications.
Specific tasks may include research scoping, algorithm development, experimental study design and analysis, data mining, data visualization and gaining deep competency in cutting edge ML technologies.
You will collaborate closely with Wellness researchers to understand concepts and the underlying science and with Machine Learning Engineers to transition the results of research through concept prototypes into production-quality deliverables.
Basic Requirements
A Master's degree (PhD preferred) in Statistics, Computer Science, Electrical Engineering, Physics, Computational Neuroscience or related field.
5+ years of experience leveraging statistics, machine learning and AI methods to solve applied research problems, develop and prototype practical algorithms and analyze novel data sets.
3-5 years of experience with the Python data science stack (e.g. NumPy, Pandas, scikit-learn, SciPy, StatsModels and other NumFocus projects.)
Link:
https://boseallaboutme.wd1.myworkdayjobs.com/Bose_Careers/job/US-MA---Boston-Landing/Senior-Data-Scientist_R11435
Applied Research Scientist - Machine Learning
Mila - Quebec Artificial Intelligence Institute
In addition to its academic training and fundamental research focus, Mila’s mission is to contribute to Quebec and Canada’s economic development through technology transfer and business innovation.
As part of the technology transfer team, the candidate will be involved in helping companies innovate by integrating AI into their products or improving their existing AI-based solutions. The candidate will also contribute to building and fostering long-term relationships with Mila’s partners and players in the AI ecosystem. Finally, the candidate will be involved in professional training programs.
Multidisciplinarity is desired. In addition to expertise in machine learning, we favor candidates with expertise in areas of application of AI such as biomedical, medical, neuroscience, law, insurance, ethics, finance, cybersecurity, transportation, agriculture, robotics, chemistry, computer vision, natural language understanding.
MAIN RESPONSIBILITIES
• Support companies through consulting / coaching to introduce AI into their products or improve their AI-based solutions.
• Participate in applied research projects with companies, academic or research institutes.
• Develop machine learning training programs for industry.
• Supervise interns from the Professional MSc in Machine Learning program.
• Dedicate one day per week to own research projects.
REQUIRED SKILLS
• Expertise in machine / deep learning (MSc, PhD, post-doc in the field, or equivalent work experience).
• Expertise in PyTorch or TensorFlow.
• Excellent oral and written communication skills.
• Ability to multitask.
• Ability to lead a project and to work well as part of a team.
PREFERRED SKILLS
• Industry experience in machine / deep learning.
• Industry experience in fields of application of machine / deep learning.
• Proficiency in English and French.
BENEFITS
• Stimulating and cutting-edge workplace.
• Competitive salary.
• Generous annual vacation policy.
• Flexible work schedule.
Robotics Engineer
Motion Metrics International
Motion Metrics International is hiring a Robotics Engineer to work closely with our AI and software teams on novel and disruptive solutions that advance our global vision for autonomous heavy-duty equipment, robotics, and connected services. The successful candidate will have strong programming skills and a deep understanding of control systems, machine learning (algorithms & frameworks), modular design, and distributed computing; excellent communication and planning skills are also essential.
Responsibilities:
• Create quick Proof of Concepts to help build rich robotics system experience for the organization, which can then be leveraged for the development of real-world projects.
• In coordination with the hardware engineering team, perform engineering work in analysis, design, development, evaluation, planning, testing and operation in support of system and technical product development.
• Work on building autonomous operating heavy-duty loaders that are targeted towards disruptive products, based on embedded system architecture, machine learning, computer vision, robotics, sensor fusion, motion planning, robot simulator, etc.
Requirements:
• M.S. or Ph.D. Degree.
• 1+ years of hands-on experience in robotics system design.
• Track record of designing and building robotic systems with extensive experience in precision motion and machine vision.
• Relevant experience in system architecture, including broad technical knowledge in mechanical
design, electronic controls, precision motion and positioning, optical fibers, and lasers.
• Strong background in robotics, self-driving cars, motion planning, sensor fusion, Lidar, radar, camera,
IMU, GPS, Apollo, embedded.
• Proficiency in modern programming languages such as C++ and Python.
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Experience with deep learning frameworks: Caffe, TensorFlow, Theano, Torch.
Link:
http://www.motionmetrics.com/files/jobs/RoboticsEngineer_2018.pdf
Research Scientist
Lyrebird AI
Research and develop cutting edge audio technology including speech synthesis, enhancement and other related problems.
Head of AI - early startup
Infonomic Data
Reporting directly to the founder, the Head of Artificial Intelligence will lead the team that is responsible for automated valuation models and advanced analytical products. More specifically, the role will assume the following responsibilities:Build machine learning models for data insights platform as well as other predictive and advanced modeling applications. Recruit, hire, and mentor exceptional data scientists and machine learning engineers. Work with product management, product development, operations, customer support, and other internal stakeholders to define requirements, guide product and architectural vision, and prioritize efforts. Manage an active research agenda aimed at generating innovations to solve business needs and technical challenges (including outside research). Integrate research into a technical roadmap for product development. Iterate quickly in an agile development process.Create a dynamic, collaborative and fun team environment. Engage team in conferences and external activities that facilitate staying abreast of the latest cutting edge technologies and approaches.
Link:
https://www.infonomicdata.com/careers/head-artificial-intelligence
AI/CV Engineer Montreal
Jumio
Jumio AI Labs hiring now in Montreal for ML/AI Engineer positions. We are the worldwide market leaders in identity/ID verification and looking for strong computer vision and deep learning candidates wanting to apply the latest research to real-world problems at scale.
*** this sounds like many other job ads here but I can guarantee this is the real-deal if you finally want to do ML/DL vision at scale - we regularly utilize and create in-house labeled datasets larger than most research datasets - I look forward to telling you more ***
If you’re looking for work or an internship in Montreal, don’t hesitate to contact me and let’s meet up for a chat. Have a great week!
Andy
AI Team Lead Montreal
andy.hess@jumio.com
jumio.com
Link:
jumio.com
Research Scientist
WaveOne, Inc.
WaveOne will change the way people represent, store and transmit images and video. We are building the next generation content-aware and task-aware compression technology. This is a unique opportunity to do research while being part of a very small and highly selective startup (see wave.one for more). We are working with one of the top VCs in the Bay Area and a couple of weeks ago we made it to the front page of the Wall Street Journal. We consider both new PhD graduates as well as senior candidates. Join the real Pied Piper while we are still pre-Series A!
Link:
http://wave.one
Machine Learning Researcher
Travelers Insurance
As part of the Travelers Innovation Center, we are building up a team of deep learning researchers. We are looking for researchers interested in applying deep learning into practice. As a part of the team, you work in small teams to test and deploy innovative solutions in the Insurance industry.
Skills
- PhD STEM (Science, Technology, Engineering, Mathematics) degree with zero years experience or Masters STEM degree with 3 years of experience or Bachelor's STEM degree with 5 yrs experience required.
- Demonstrated research or experience in deep learning and machine learning
- Successful implementation of machine learning models in real world environments
- Experience in software engineering with relevant technologies (Python, C++, Julia etc.)
- Capable of working in a team
- Able to learn new skills and apply them quickly
- Able to analyze problems quickly
- Excellent communication skills
- Knows how to have fun
-
Company Information
Solid reputation, passionate people and endless opportunities. That's Travelers. Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.
Research Scientist
Cisco
Who We Are
We are a bunch of five former startups collectively called Advanced Threat Solutions and we keep an agile, fun, passionate upstart culture within Cisco. With security focus & mindset we make machine learning work on really big data. We balance collaboration and integration with autonomy and innovation to deliver the most effective solution to our customers’ problems. The unique mix of our disruptive approach to security and Cisco’s industry dominance surpasses what any other security startup could ever achieve on its own.
What You'll Do
We are developing our team and currently looking for experienced Research Scientists and Research Engineers to work in an international environment in downtown Prague, Czech Republic as a part of the Advanced Threat Solutions team spanning across Prague, CZ, Silicon Valley (San Jose), CA, Calgary, Canada, and London, UK. Your work will include the following areas, depending on the role:
Research Scientist:
* Working with massive datasets with many undesirable properties and opportunities for interesting and important machine learning research
* Being able to choose from, tackle and connect a variety of problems from the fields of: classification, semi-supervised learning, anomaly detection, clustering, explainability of models and results, ML fairness and many others
* Keeping up with the state-of-the-art
* Collaborating tightly with research and software engineers on delivering your inventions into our products
* Being encouraged and supported to publish your research in academic conferences or journals
Link:
http://cognitive.cisco.com
Research Engineer
Cisco
Who We Are
We are a bunch of five former startups collectively called Advanced Threat Solutions and we keep an agile, fun, passionate upstart culture within Cisco. With security focus & mindset we make machine learning work on really big data. We balance collaboration and integration with autonomy and innovation to deliver the most effective solution to our customers’ problems. The unique mix of our disruptive approach to security and Cisco’s industry dominance surpasses what any other security startup could ever achieve on its own.
What You'll Do
We are developing our team and currently looking for experienced Research Scientists and Research Engineers to work in an international environment in downtown Prague, Czech Republic as a part of the Advanced Threat Solutions team spanning across Prague, CZ, Silicon Valley (San Jose), CA, Calgary, Canada, and London, UK. Your work will include the following areas, depending on the role:
Research Engineer:
* Building scalable machine learning systems for detection of modern malware, advanced cyber threats, and malicious user behavior
* Building high-performance cloud systems capable of handling challengingly Big Data maintained by CISCO, build and support infrastructures enabling large-scale data processing and Machine Learning computations
* Cooperating with the researchers on the user friendly and understandable presentation of the threats detected
* Building, deploying and operating the application in the AWS cloud
* Fitting into our DevOps mode of working and be responsible for the whole product cycle up to the production deployment
Link:
http://cognitive.cisco.com
AI (for Health) Scientist at MIT
MIT Media Lab
Looking for talented researchers for a large ML project that uses a massive health data ecosystem
Link:
Tiny.cc/raskjobs
Computer scientist - machine learning & image analysis at Cairn bioscience
Cairn biosciences
Drug discovery / ML-based image analysis of large-scale microscopy datasets.
Full description in the link below!
Link:
www.cairnbio.com/current-openings
PhD positions in ML (CS department)
ETH Zurich
Looking for exceptional applicants with strong background in functional analysis, theoretical statistics/probability and some experience with large scale data and deep learning frameworks (the latter is not strictly necessary depending on concrete interests)
Possible research topics could evolve around one or in intersection of the following areas of interest
- learning theory (including for neural networks)
- algorithmic regularization
- distributional robustness, interpretable/explainable AI for natural/medical images and NLP
- active learning
Start date January 2020, CS department (mean duration ~4 years, Salary: ~70-80K/year). What Zurich has to offer besides an exceptional research environment: outdoor sports on top of stunning mountains year round, international community and diverse cultural events...
If interested, please message me with a link to your CV/website, your presentation at NeurIPS and time slot you could meet up.
Faculty positions in AI and Machine Learning
McGill University
The Department of Electrical & Computer Engineering and the School of Computer Science of McGill University, Montreal, invite applications for five tenure-track appointments at all ranks, to begin on August 1st, 2019.
We are searching for candidates with expertise in artificial intelligence/machine learning having a strong publication record in top AI/ML journals and conferences and/or related publication venues. The ideal candidates will additionally have expertise in one or more of the following domains:
Theoretical Approaches of Artificial Intelligence
Computer Platforms, Computer Systems and/or Programming Language Support for AI
Machine Learning applied to Computer Vision or Robotics
Secure/Private, Robust, and Reliable AI
Applications of AI and ML to Electrical, Computer, and Software Engineering
The successful candidates will be expected to conduct high-quality research and secure competitive external funding, teach to a diverse and talented student body and provide service to the University, the profession and society at large.
Outstanding candidates may be eligible to receive a CIFAR Chair in AI (https://www.cifar.ca/ai/pan-canadian-artificial-intelligence-strategy), depending on their research profile. The successful candidate who satisfies the eligibility conditions of the Canada Research Chair program may be supported by the University for nomination to a Tier 2 Chair.
For more detailed information and to apply, please consult our website at: http://hiring.cs-ece.mcgill.ca/
The selection process will begin December 18, 2018, and continue until the positions are filled.
Link:
http://hiring.cs-ece.mcgill.ca/
Postdoc in ML and applications to NLP
Saarland University
The topic of the position is flexible. It could be on
* theory of ML
* applications to NLP, Vision&Language, Speech Processing or Dialog Systems
Duration: 2 years extendible to up to 6 years
Salary: between 4075 euros and 5450euros before tax, insurances, . .. and depending on experience (E13) .
Intetested? Let's meet at NIPS
AI for health (sleep and gait monitoring)
university of oxford
postsoctoral researcher at oxford
Link:
http://www.eng.ox.ac.uk/jobs/current-vacancies/vacancy/137913-Postdoctoral-Research-Assistant-in-Digital-Health
Postdocs in Foundations of ML @ Yale
Yale
If you are mathematically strong, highly motivated, and interested in working on foundational topics in ML such as optimization, high-dimensional sampling, fairness, stability - please get in touch with me during NeurIPS or see the ad in the link below.
Link:
http://www.cs.yale.edu/homes/vishnoi/postdoc.html
Squarepoint - Quant - Data Science - Global Roles
Squarepoint
Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients.
We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms.
With main investment offices in New York, London, Montreal and Singapore, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.
Overview of our Data Science Position
- Research statistical techniques such as Machine Learning and NLP to extract value from data.
- Analyze large data sets using advanced statistical methods to identify trading opportunities.
- Help to develop tools to solve complex data related problems throughout the firm.
Typical Day of Quant Researcher - Data Science
- Primary focus throughout the day is on researching new techniques and exploring datasets.
- Discuss and present research results with other researchers.
- Deploy and monitor tools used in every day trading processes.
Link:
www.squarepoint-capital.com
PhD and Postdoc positions at intersection of AI & Machine Learning with Security & Privacy
CISPA Helmholtz Center
We are looking for PhD candidates and Postdocs in a broad range of topics including:
- Inference attacks on ML
- Privacy preserving ML
- ML for security
- Safety / robustness
- Trust / content authenticity
- Fairness
- Forensics
Application domains include:
- Vision
- NLP
- Code
- Medical
For more information on the new CISPA Helmholtz Center for Information Security please have a look at:
https://cispa.saarland
Please send me an email if you are interested.
Link:
https://fritz.cispa.saarland
Tokyo: AI Research Intern 2019 Summer
Preferred Networks
Preferred Networks is a growing startup with about 190 members based in Tokyo, Japan, focusing on applying deep learning to industrial problems such as autonomous driving, manufacturing, and bio-healthcare. Recently we revealed our plan towards personal robots. We are also actively developing the deep learning framework Chainer.
In previous years, by selecting highly capable interns and encouraging them to tackle challenging and important problems, some of the internship results have been published at top conferences such as ICML, ICLR or workshops at ICRA, ICCV, and NIPS.
During the internship, you will have unique opportunity to collaborate with highly motivated experts for working on real-world applications of deep learning, while staying in Tokyo, one of the most attractive cities in the world.
See link for more details and visit our booth in 220B.
Link:
https://preferred-networks.workable.com/j/D19036098E
Senior Machine Engineer
Unity Technologies
Deep learning reinforcement learning BS MD PhD
Senior Machine Learning Engineer
Unity Technologies
Deep learning reinforcement learning partner with deep mind
Data Scientist
Fidelity Capital Markets
Join Fidelity Capital Markets and apply AI and data science methodologies to accelerate innovation in capital markets and financial services.
We have both full time and internship available.
Deep Learning Engineer (Vision)
V7
V7 visually understands scientific research in real time and automatically transcribes it reducing human lab hours by half in cancer, Alzheimer’s, and MS research.
Our work mainly involved 6D pose, segmentation, robotic manipulation, and the use of synthetic data.
Link:
V7labs.com
Senior Machine Learning Researcher
BenevolentAI
We are seeking an Senior Machine Learning Researcher with a record of excellence in empirical research in areas such as natural language processing, knowledge graph inference, active learning and biochemical modelling to join our London office. Our goal is to bring together world-class AI Scientists / Machine Learning Researchers to advance the understanding of scientific discovery and to bring this understanding to the tools built at BenevolentAI. Our primary focus is to accelerate the discovery of therapeutic treatments (drugs) for human diseases.
You will be responsible for developing and executing a research agenda around the core problems we work on at BenevolentAI - scientific discovery from structured and unstructured data sources. In this specific role deep expertise in bayesian model approaches is essential.
Link:
benevolent.ai/careers/
postdoc @ ENS Lyon
École Normale Supérieure de Lyon
postdoc position on bandits / sequential statistics / noisy optimisation / Monte Carlo Tree Search theory
please send a message with your vitae + list pf publications
Endowed Chair in Artificial Intelligence
Concordia University
** Apologies for cross-posting** Gina Cody Research Chair in Artificial Intelligence
The Department of Computer Science and Software Engineering at Concordia University, in Montreal, seeks an outstanding candidate for the Gina Cody Research Chair in Artificial Intelligence at the rank of Associate or Full Professor. The five year research chair is renewable and comes with an attractive research package. The ideal candidate is an internationally recognized researcher with an exceptional scholarly record, and has proven leadership qualities, and the ability to collaborate with industry. She/he is expected to demonstrate a commitment to the supervision of Masters and PhD students and attract strong external funding. Areas of expertise include, but are not limited to: fundamental research in machine learning or deep learning, and applications to areas such as natural language processing, computer vision, robotics, and medical imaging. The successful candidate will assume a leadership role in artificial intelligence in the department and have rich opportunities for intellectual interaction and collaboration with other leading researchers and in industry.
Membership or eligibility for membership in a Canadian professional engineering association as well as knowledge of French would be considered assets.
Applications must include a cover letter, detailed curriculum vitae, teaching and research statements, and names of four referees. Electronic applications should be submitted by January 15th 2019 (revised deadline) and will be reviewed on an ongoing basis until a suitable candidate has been identified. Only short-listed applicants are notified. The appointment is expected to commence in July 2019 or shortly thereafter.
Kindly forward your electronic applications: AI-hiring@cse.concordia.ca
For more information: https://www.concordia.ca/ginacody/about/jobs/csse/artificial-intelligence.html
Link:
https://www.concordia.ca/ginacody/about/jobs/csse/artificial-intelligence.html
NLP deep learning research engineer
Forethought.ai
At Forethought, we're solving the world's hardest problems in Natural Language Understanding to build an "answer engine" for the enterprise. Customers use our answer engine to give employees and customers access to the right information at the right time. Our mission is to "enable everyone to become a genius at their job".
We're looking for world-class Deep Learning and Natural Language Processing Research Engineers to join our team! We're looking for folks with a growth mindset, who love to solve the world's hardest problems, and want to have an impact on the world.
You will be responsible for researching and implementing state-of-the-art algorithms in Question Answering, Machine Reading Comprehension, Recognizing Textual Entailment, Document Classification, Text Analytics, Sentiment Analysis, and Automated Knowledge Graph Extraction.
More info here: https://angel.co/forethought-3/jobs/340875-research-engineer-deep-learning-nlp
Link:
forethought.ai
Principal AI Architect
Microsoft
Are you passionate about transforming the way in which people communicate and connect around the world at work and at home? Are you motivated by the challenges of building real-time communication services at cloud-scale? The Skype & Teams Infrastructure team is looking for a strong Architect to drive the strategic investments in artificial intelligence and machine learning in the real-time meetings infrastructure for our Skype, Skype for Business, Microsoft Teams, and beyond.
The Principal AI Architect role will lead the cross-team effort for driving improvements and innovations through AI and ML for conversations and communication. This includes gathering and prioritizing requirements from customers, marketing, and partner teams, devising, selecting, and prioritizing opportunities for use ML and AI for strategic opportunities in our products, devising ways of how to strategically collect data to get the virtuous AI cycle going, working with data scientists, machine learning engineers, and data pipeline engineers to build and improve models, deploying these models, and obsessing about ways to get feedback and to gather more data and to continuously improve the models. This is a fantastic opportunity for an architect who loves solving complex business and technical problems through AI and ML, working with a world-class team of applied data scientists and engineers, impacting a global organization.
Link:
https://careers.microsoft.com/us/en/job/502149/Principal-Applied-Scientist
Associate Prof @ Warwick (x2, Bayesian Stats, Statistical ML)
University of Warwick
2 permanent positions at University of Warwick, Dept. of Statistics. See full description below. Linked to The Alan Turing Institute.
Informal enquires can be addressed to Professors Barbel Finkenstadt (b.f.finkenstadt@warwick.ac.uk) and Gareth Roberts (gareth.o.roberts@warwick.ac.uk)
Link:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair&jcode=1783044&vt_template=1457&adminview=1
Post docs and phd positions in Machine learning, statistics and optimization : theory and algorithms.
Università di genova
Multiple positions will open soon to work on theory and algorithms including large scale optimization, sketching/randomized algorithms, regularization theory, convex/non convex problems, structured learning, learning in dynamical systems.
i am looking for candidates with strong math background, interested into engaging in statistical and optimization problems.
positions are on a newly founded erc grant.
My group has a bunch of posters (5) at the main conference, come by to know more or DM me.
Link:
lcsl.mit.edu
Group Leader for Probabilistic Machine Learning Research
Robert Bosch GmbH / Bosch Center for AI
- Create something new: You drive AI technology development for industrial applications.
- Take responsibility: You lead a group of post-doc level Machine Learning scientists and PhD students in an industrial AI research environment and participate actively in the definition and development of the Bosch AI research strategy.
- Think holistically: You develop the group to keep and improve its high scientific footprint.
- Networked communication: You build up and maintain a strong network to collaboration partners in both academia as well as within the company therefore you strengthen the groups positioning within and outside the company.
Link:
https://jobs.smartrecruiters.com/BoschGroup/743999678125693-group-leader-for-probabilistic-machine-learning-research
NLP Analytics Manager
Accenture The Dock
We are looking for a Natural Language Processing Manager. As an NLP Manager you will;
Lead teams to deliver innovative Analytics & AI projects (majoring in NLP); ranging from research, proofs of concept to the delivery of real-world applications for our clients.
Coach and guide teams in Analytics & AI technical delivery, methods and approaches
Embrace working in multi-disciplinary teams and collaborate with designers, software developers, business experts and Accenture teams external to the Dock.
Mentor junior team members in their technical and professional development
Actively contribute to the leadership, direction and strategic vision and roadmap of Analytics & AI team within the Dock.
Bring your passion for improving the world through technology innovation to our team and demonstrate the ability to thrive in a fast-paced, highly collaborative work environment.
Required
Strong academic qualifications in Mathematics, Computer Science, Engineering, Artificial Intelligence, Computational Linguistics or a related discipline
Deep experience in Analytics & AI project delivery or product management including Statistical Modelling, Data Science, Unstructured Data Analytics and Machine Learning
Deep aptitude and proficiency in technical development and design techniques for NLP
Open Source Platforms & Frameworks for NLP
Programming Languages: Python, Java
Machine Learning & AI: Neural Networks, NLP with NLTK, OpenNLP or equivalents.
Demonstrable ability to work in a global collaborative & multi-disciplinary team environment
Experience managing relationships and influencing at the senior executive level
Industry domain experience in Financial Services, Health & Life Sciences or other industries
Proven experience in leading technical teams and in managing and mentoring more junior team members
Strong verbal and written communication skills in English.
Link:
bit.ly/NLP_principal
Machine Learning Research Scientist
Robert Bosch LLC / Bosch Center for AI
- Development of novel Deep Learning algorithms, implementation and evaluation using multi-modal Bosch data from application areas such as autonomous driving, robotics, and Internet of Things
- Original research, theoretical investigations, publications at top Machine Learning conferences and journals
- Close contact to the scientific Machine Learning community, scouting and assessment of new approaches
- Technical discussions and creation of new ideas within the existing Deep Learning research team
- Supervision of Master and PhD students
Link:
https://jobs.smartrecruiters.com/BoschGroup/743999674270303-machine-learning-research-scientist
Machine Learning and Optimization Researcher
Robert Bosch GmbH/ Bosch Center for AI
- Research and development of machine learning algorithms in the context of optimization and reinforcement learning problems
- Focus on development of scalable machine learning algorithms that work reliably for real world applications
- In particular, focus on transfer learning and scalability of probabilistic machine learning methods.
-Original research and publications at top Machine Learning conferences and journals desired
- Transfer of state-of-the-art research results to Bosch applications
- Technical discussions and creation of new ideas within the existing Reinforcement Learning research team
- Supervision of Master’s and PhD students
Link:
https://jobs.smartrecruiters.com/BoschGroup/743999670597708-machine-learning-and-optimization-researcher
Senior Data Scientist
Accenture The Dock
Main Roles and Responsibilities
* Bringing deep experience in developing Advanced Analytics solutions, using standard frameworks, toolkits and libraries, speficially in the Machine Learning, Deep Learning and Computer Visions fields.
* Being responsible for shaping, owning and delivering complex Advanced Analytics applications and experiments and being responsible for their business value and measures of success.
* Leading teams and nurturing new skills and capabilities in these teams
* Presenting to and interact with with client and business stakeholders.
Requirements
* Masters Degree or higher in Computer Science, Mathematics, Engineering, Artificial Intelligence or a closely related discipline.
* Deep experience in a number Advanced Analytics, Machine Learning and Deep Learning domains and proven experience in the application of these technologies to real-world problems.
* Experience in Natural Language Processing and Knowledge Representation and Reasoning also welcomed but not essential for this role.
* 5+ years experience in designing and implementing Advanced Analytics systems for R&D or commercial applications. Industry, product or commercial application experience is preferred.
* 5+ years of project or product development methodology experience, for example agile development and CRISP-DM.
* Proven proficiency in several machine-learning related tools, languages & frameworks.
* Experience in designing and developing AI based systems and applications architected for scale.
* Experience in standards, methods and best practice for Advanced Analytics development, solution quality, accuracy and resilience.
* Hands-on experience and expertised with a number of statiscial and application programming languages (Python, R, Java).
* Ability to work in a global collaborative team environment.
* Proficient verbal and written communication skills in English.
Link:
https://accntu.re/2KTIRFu
Lead Deep Learning Researcher
Morgan Stanley
Morgan Stanley Machine Learning (MSML) is Morgan Stanley's center of excellence responsible for working with business and IT teams across the firm to solve mission-critical problems. We are a highly motivated and collaborative team consisting of data scientists, machine learning engineers and
members from academia. Our team is uniquely positioned to apply advanced AI to revenue generating
business cases.
Responsibilities:
- Lead machine learning projects and develop models in collaboration with strats, quants and traders
Independently work on end-to-end development of models using trading data, market data,
alternative data and data from other internal/external data sources
- Bring deep learning insight into econometric modeling
- Mentor and lead relatively junior members of the team
- Work with stakeholders to refine requirements and communicate progress
- Rapidly prototype and iteratively develop models
- Deploy models to production and monitor performance
- Study recent research and develop original ideas to solve hard problems
- Speak in internal and external forums
Required:
- Research level understanding of deep learning architectures, their applicability to data and optimal
training strategies
- In-depth knowledge of deep learning networks like DNN, CNN, RNN, Auto Encoder, GAN and VAE
- At least 3 years of exclusive experience in deep learning
- Strong command over linear algebra and statistics
- Ability to quickly translate ideas to efficient, elegant code in Python and Tensorflow
- Research oriented mindset with a natural ability to combine traditional techniques and cutting-edge
research to develop novel models
- Experience in model training in a GPU environment
- Experience in leading a team of researchers and research engineers
- 5-10 years of machine learning experience
- Excellent communication and presentation skills
- PhD in Computer Science or Machine Learning
Multiple PostDoc and PhDs
Newcastle University
Post Doc * 3
We have multiple (3 at present) adverts for Post Doc position in Machine / Deep Learning for two security projects – one in Ransomware and one in Crime in the Cloud. We are seeking good candidates in Deep Learning with skills in NLP, document classification or anomaly detection. Posts are initially for a period of 18 months though likely to be extended.
PhDs
We have multiple PhD positions (some with funding) available for October 2019
The PhDs are open to anyone with an interest in Big Data and / or Machine Learning. My interests are in:
Deep Learning Optimisation
Deep Learning Performance
NLP
Deep Learning on Graphs
Anomaly Detection
For any of these please get in touch.
Link:
https://tinyurl.com/yb2e9xxn
AI Software Engineer
Accenture Labs
The Dublin Labs team focuses on artificial intelligence, with a strong emphasis on explainable AI and machine learning on knowledge graphs. The lab is co-located with the over 100 designers, developers and domain experts at The Dock, Accenture's newly-created global centre for innovation.
Basic Qualifications
• Master’s degree in computer science, engineering or mathematics fields
• Prior experience in artificial intelligence, machine learning, natural language processing, or advanced analytics
Professional Skill Requirements
• Good foundation in mathematics, statistics and probability
• Strong knowledge of Machine Learning foundations
• Strong Python programming skills
• Strong development skills with Machine Learning frameworks e.g., Scikit-learn, Tensorflow, PyTorch, and scientific Python (e.g. numpy)
• Knowledge of mainstream Deep Learning architectures.
• Working knowledge of Linux OS and shell scripting
• Eagerness to contribute in a team-oriented environment
• Hands-on experience with git and issue tracking systems
• Demonstrated leadership abilities in school, civil or business organisations
• Ability to work creatively and analytically in a problem-solving environment
• Proven communication skills (talks, presentations, publications, etc.)
• Preferred Qualifications
• A track record of AI-related projects on Github (or similar)
• Demonstrated abilities in designing large scale AI systems
• Hands-on experience with Docker, AWS.
• Familiarity with knowledge graphs a plus.
• Hands-on experience with data visualization, analytics tools/languages
• Familiarity with rapid prototyping
• Demonstrated teamwork and collaboration in professional settings
• Ability to establish credibility with clients and other team members
• Prior experience in a Research & Development or innovation environments (patents, publications, etc.)
Data Scientist - Advanced Analytics
McKinsey & Company
QUALIFICATIONS
MSc or PhD level in the field of Computer Science, Artificial Intelligence, Applied Statistics, Mathematics with applied practical experience and programming background is highly desired
3+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
Programming skills in one of the following language: R, Python, Scala, SQL
Experience in the commercial application of machine learning methods and algorithms
Ability to communicate complex ideas effectively – both verbally and in writing – in English and Portuguese (Brazil) or Spanish (Chile and Colômbia).
Willingness to travel
WHO YOU'LL WORK WITH
You could work in São Paulo – Brazil, Santiago – Chile or Bogotá - Colômbia as part of our QuantumBlack team.
QuantumBlack, which is part of McKinsey & Company, helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know- how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualisation solutions to make better decisions.
WHAT YOU'LL DO
You will work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients and consulting teams.
You'll help to drive the analytical scope and method for projects, including formulating and shaping the models. Additionally, you'll develop world-class data science products for clients as well as for our data science team. You'll work on complex data sets from some of the world’s largest organizations, and you'll leverage math, statistics, and machine learning to derive key insights across various industry sectors including formula 1, pharma
ML Researcher
Invenia Labs
Come talk to us at Invenia Labs booth at the exhibit area, or apply online at www.joininvenia.com
We are looking for Machine Learning Researchers to join our research and development team.
From creating experiments and prototyping implementations to testing and deploying promising ideas quickly and safely, our researchers work on real-world problems with a focus on understanding and improving the efficiency of electricity grids.
They are also active in the wider research community by partnering with universities, publishing research papers, and attending conferences.
Qualifications:
- MSc/PhD in Machine Learning, Electrical Engineering, Mathematics, Physics, Computer Science, Statistics, or other related disciplines.
- Expertise with Bayesian methods, probabilistic modelling, optimisation, and statistical inference on complex data.
- Experience with numerical and scientific computing concepts and methods.
- Good coding skills, preferably experience with Python and/or Julia.
- Experience with machine learning toolboxes and frameworks, such as TensorFlow and scikit-learn.
Link:
www.invenialabs.com
Deep learning opportunities at Amazon Search
Amazon.com
Amazon search is looking for engineers and researchers to build a semantic product search engine. We are also looking for candidates interested in applying DL/RL for ranking, query understanding and all forms of NLP. ping me (vijai mohan) at Whova or i will be at Amazon booth during 4.30-5.00 pm break
Summer 2019 - Deep Learning Engineer Intern (London, UK)
V7
V7 visually understands scientific research in real time and automatically transcribes it reducing human lab hours by half in cancer, Alzheimer’s, and MS research.
Our work mainly involved 6D pose, segmentation, robotic manipulation, and the use of synthetic data.
Link:
V7labs.com
Postdoc, Warwick Stats&CS (joint) position
University of Warwick
Postdoc 2-year position, departments of Statistics and Computer Science, also affiliated with The Alan Turing Institute. Bayesian statistics & ML::Bayesian nonparametrics::deep/non-stationary/heteroscedastic/robust compositions (stochastic and deterministic approximations)
Ping me if interested to have a chat at NeurIPS
Machine Learning Intern
Evolving web
Evolving Web, a local Montreal company is looking for a machine learning intern (4 months internship). We participate in the Mitacs accelerate program for students at Canadian universities.
Evolving Web manages large and complex entreprise websites. We own a popular QA automation tool for auditing and error detection, and are developing a Machine Learning component to reduce False Positive and False Negative rates.
Link:
https://www.mitacs.ca/en/programs/accelerate
Generative Model Research Scientist (Games & Animation)
Sizigi Studios
We’re a VC-backed startup productizing GAN models for the media and entertainment industry.
Looking to hire a full time research scientist to help improve some of our state-of-the-art generative models. You’ll work alongside our small, fast-paced team of researchers, artists, and engineers.
Give us a shout if you’re interested the intersection of deep learning, video games, and anime!
Bonus points if you PM me with best waifu/husbando
ML in LA!
ZipRecruiter
We've built the smartest platform to match up job seekers and employers. We're constantly working to improve our models and keep our edge. Also as we grow the data and resources we have to play with increases dramatically each year. Always on the lookout for talent we can add to the team.
Link:
https://www.ziprecruiter.com/c/ZipRecruiter/Job/Senior-Machine-Learning-Engineer/-in-Santa-Monica,CA?jobid=03f90393-673cd2f0&same_org_id=1&widgetlink=1
Tensor Compiler Engineer
Intel
We’re looking for an experienced engineer with a passion for deep learning and a broad knowledge of all aspects of modern computing to join Intel’s Artificial Intelligence Products Group in Seattle, working with PlaidML, Movidius hardware, and related technologies. Stop by the Intel booth in the Expo hall to chat with us, or check out the link!
Link:
https://jobs.intel.com/ShowJob/Id/1753461/Senior-Tensor-Compiler-Engineer/
AI postdoc at MIT
MIT
Postdoc position doing AI research. You have a strong interest In math/physics and are interested in fun foundational AI questions. For example, how can we build AI systems that aren’t just powerful, but also intelligible and trustworthy?
for examp
Link:
http://space.mit.edu/home/tegmark/home.html
Reinforcement Learning Engineer
MAIC
Looking for candidates interested in making a meaningful contribution to a soon-to-be open sourced reinforcement learning framework.
There is an immediate need to utilize this framework for industrial applications. Happy to provide more details to qualified candidates.
Open source experience appreciated.
Link:
maic.services
Research Data Scientist
Vanguard Group
Hi, we are hiring.
1. Leads and executes analytic projects to provide insight into client needs and behavior, supporting marketing and client servicing decisions. Serves as the analytics expert on cross functional teams for large strategic initiatives. Serves as own Project Manager and Relationship Manager for smaller projects.
2. Research new and innovative techniques and methods to solve machine learning problems, supporting strategic business goals.
3. Being able to drive and use stat-of-the-art machine learning techniques e.g.: deep learning, NLP, recommendation engines, fraud detection, temporal data mining, probabilistic inference, others.
4. Being able to work with a team of data scientist to carve our new research that supports ongoing and future analytical capabilities. Produces innovative solutions through the use of advanced data analytics from complex and high-dimensional datasets.
5. Prepares and delivers insight presentations and action recommendations. Communicates complex material in layman’s terms. Guides business partners on the interpretation, implications and use of analytic results.
6. Develops and applies domain knowledge of Vanguard’s businesses and data to shape the analytic road map.
7. Contributes to the growth of the analytic community. Mentors analysts.
8. Participates in special projects and performs other duties as required.
Qualifications:
* MS degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Operations Research, Physics, or other relevant scientific field. PhD degree preferred.
* A minimum of five years general experience and five years relevant professional experience in progressive analytical roles.
* Deep understanding and experience building models using Machine Learning & Optimization methods such as: Linear/Non-Linear/Integer programming, Deep Learning, Random Forests, GBM, Hidden Markov Models, SVM, Regression (Generalized linear models), MLE, Time-series analysis, Signal Processing,
Link:
https://www.vanguardjobs.com/job/8499083/research-data-scientist-malvern-pa/
ML Engineering (Construction)
nPlan
We are looking for a Machine Learning Engineer to join our team in London. We are all about making construction more predictable via a comprehensive understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. We're working with some of the largest infrastructure projects in the world, which means an opportunity to have true impact on the world around us
Link:
https://nplan.io/careers
Data Scientist (Construction)
nPlan
We are looking for a Data Scientist to join our team in London. We are all about making construction more predictable via a comprehensive understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. We're working with some of the largest infrastructure projects in the world, which means an opportunity to have true impact on the world around us.
Link:
https://nplan.io/careers
Software Engineer (Construction)
nPlan
We are looking for a Software Engineer to join our team in London. We are all about making construction more predictable via a comprehensive understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. We're working with some of the largest infrastructure projects in the world, which means an opportunity to have true impact on the world around us.
Link:
https://nplan.io/careers
Research Intern and Research Scientist for Mobile Computer Vision
Facebook
Our mission is to advance the state of the art in computer vision algorithms for embedded devices. We are looking for talented research intern candidates to join our team. Feel free to ping me and chat @ the conference.
Research Engineer - AI for Good
Element AI
If you're interested in marrying your engineering and scientific skills with NGO domain expertise for social good, then come meet our London team at Element AI's booth.
Link:
https://boards.greenhouse.io/elementai/jobs/1003472
Research Engineer
Syntiant
(((email sean@syntiant.com to express interest and arrange a quick meetup)))
Develop neural network models to run on real world devices
Work across audio, image, video, and multi-modal sensor fusion problems
Build data, training, and evaluation methods
Experimentally validate methods for training neural networks that maximize power-efficiencies on Syntiant processors
Advise clients in optimizing networks targeting Syntiant processors
Build simulation models in TensorFlow for the computational properties of analog neural networks
Occasionally publish results and/or file for patents in collaboration with hardware team
Support and be supported by our team of hardware engineers
Minimum Qualifications
5+ years of experience required, Math, CS or EE BS, MS expected, PhD preferred.
Strong fundamentals in software development practices (e.g., Git, continuous integration, testing, GitLab, etc.)
Experience working with AWS or similar development and training environments
Competence in high-level scripting languages (e.g. Python), experience with TensorFlow, PyTorch, or similar deep learning frameworks.
Link:
syntiant.com
Algorithm Scientist, San Diego Startup
AV Lab
AV Lab is looking for talented deep-learning experts to become part of its core team of algorithm scientists. You will become part of a group of innovators and visionaries helping develop advanced AI technologies for real world applications.
AV Lab (www.avlab.ai) is a cutting-edge Artificial Intelligence laboratory based in San Diego, California, USA. We have built an employee owned lab environment that consists of pioneers and realists that understand the true potential and capabilities of Artificial Intelligence. The lab is developing advanced AI technologies that are further adapted for commercial deployment in diverse areas including fintech, healthcare, marketing, among others. A particular area of our speciality is in multi-variate time series. AV Lab is venture- backed by Analytics Ventures (www.analytics-ventures.com), which specializes in venture formation of Artificial Intelligence based companies.
Qualifications
•Ph.D. in Computer Science, Deep Learning, Machine Learning, Computer Vision, Physics, or relevant quantitative field, with significant experience in algorithm design.
•Ability to design and modify new algorithms and neural networks.
•Experience with deep learning frameworks such as Keras, and TensorFlow.
•Depth and breadth in state-of-the-art deep learning and machine learning technologies.
•Experience with time series techniques preferred.
•Proficiency in Python.
Interested candidates please reach out to me or forward resume to info@avlab.ai
Link:
http://www.avlab.ai
Senior Data Scientist
Walmart
We are the data science team of Associate Digital Experience at Walmart. In a typical day we apply ML and data science methodologies to drive innovations in HR and Employee-facing Technology domain. Join us to start influencing the life of 2.2M employees worldwide.
We have full-time senior and junior positions available as well as summer internship.
AI/ML/Robotics researchers, engineers, interns
Sony
Since its foundation in 1946, Sony has been creating not only products, but the way people live through movies, music, games, cell phones and electronics. Now, Sony is taking on a new challenge in the world of robotics and AI. We are seeking unique and talented individuals who have passion for “moving” people through our wide variety of products, content, and services. Join us and be part of a diverse, innovative, creative, and original team to inspire the world.
Areas of Interest: Deep Learning / Recurrent Neural Networks / Reinforcement Learning / Speech Recognition / Natural Language Processing / Dialogue Control System / Dialogue Agent / Computer Vision / Computational Photography / AI/Robotics Technologies
Locations: Tokyo / San Jose / Stuttgart / Beijing / Paris
Check https://www.sony.net/SonyInfo/CorporateInfo/newbusiness/AI_Robotics/job/
We have roles ranging from engineering to fundamental science with the opportunity to work on many exciting projects.
I am particularly looking for people who want to work/intern in Tokyo (Japan)
1. engineers/researchers with NLP/IR background for an exciting NLP spinout project
2. engineers/researchers with robotics, NLP and/or CV background for cooking robots (with CMU https://bit.ly/2KMPPf6)
3. interns for Reinforcement learning of robot sensorimotor control and emergence of communication
4. interns for working on extracting information (knowledgegraphs) from biomedical papers
5. Interns for working on neural-symbolic machine learning projects in NLP and robotics
Let me know if you are interested to discuss any of this in person at NIPS.
Link:
https://www.sony.net/SonyInfo/CorporateInfo/newbusiness/AI_Robotics/job/
Senior AI Marketing Manager
Robert Bosch/ Bosch Center for AI
Be part of a dynamic team, shaping the Bosch Center for Artificial Intelligence (BCAI) and successfully positioning Bosch as a key player in the AI-ecosystem.
- Act as brand ambassador
- Define and execute activities to support the BCAI brand positioning, utilizing the traditional and new marketing and communication mix
- Take ownership of the customer perspective and continuously driving this into the organization
- Becoming an accepted sparring partner for the BCAI leadership team on user experience and lean startup methods
- Be a role model for entrepreneurship, high performance and excellence
Link:
https://jobs.smartrecruiters.com/ni/BoschGroup/4bcb9124-5402-4633-b684-993563d8a650-senior-marketing-manager-in-sl1-
Faculty Position
RPI
http://rpijobs.rpi.edu/postings/6807
Link:
http://rpijobs.rpi.edu/postings/6807
Senior Machine Learning Engineer
Stealth AI Infra Startup (ex-VP Data at Spotify)
We are a new AI company with a social purpose at its core. We are in stealth mode building a new kind of data infrastructure for public, private, and social sector organizations everywhere. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors, and founded by the former VP Data at Spotify. To learn more about what motivates our mission, we invite you to read this post: https://www.linkedin.com/pulse/why-im-starting-new-ai-company-adam-bly/
We are hiring software engineers with a passion for data, machine learning, and social impact.
You should have skills in one or more of the following: Java, Python, database engineering, data pipeline engineering, machine learning, distributed systems, graph databases, or information retrieval.
We believe in the power of small, autonomous, interdisciplinary, and highly diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.
As a Software Engineer, you will help design and build our core platform and the software products we will launch next year. You will collaborate with Product Managers, Data Scientists, and Designers. And you will have time to learn, experiment, think, and create.
We provide a fun and stimulating work environment, flexible hours and remote work, and competitive benefits.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users.
AI postdoc in pharmaceutical discovery
Merck
Apply machine learning to modeling of molecular properties and activities, and to design of new molecules.
Link below is generic for postdoc program, contact me if you want to learn more.
Link:
https://www.merck.com/research/fellow/home.html
Machine Learning Engineer
Lendbuzz
Develop machine learning models and deploy them in backend. Required skills with supervised and unsupervised machine learning including svm, rf and deep neural networks. language: python.
Applied Scientist/Scientist/Software Engineer at
AWS Shanghai AI Lab
AWS Shanghai AI Lab is the first research lab from AWS in Asia and we are just starting up. We are looking for ML and system researchers at all levels and from anywhere. This is going to be a lab of international and global culture. Welcome to join us!
Data Scientists/Architects - Machine Learning & AI
Ericsson Canada
We are looking for talented data scientists and architects at various levels of experience to work for Ericsson in Montreal. Come join the exciting world of 5G wireless technology.
Check out our job ads/postings:
https://jobs.ericsson.com/jobs/248742
https://jobs.ericsson.com/jobs/248745
https://jobs.ericsson.com/jobs/248747
https://jobs.ericsson.com/jobs/248749
Faculty position in Glasgow
University of Glasgow
The School is creating a research theme in Understandable Autonomous Systems: Ethics, Transparency and Trust that will explore impending challenges for computational services and algorithms.
We are looking for an outstanding researcher who can work with the Information, Data and Analysis Section (IDA) in areas such as Information Retrieval, Machine learning, Vision and Sensor-based systems and Data Systems. We are especially interested in academics with a research focus on topics like: Interpretable/explainable Machine learning, Accountability, Fairness, Confidentiality and Transparency in Information Retrieval, Applications of AI/ML in health, or science, Smart Cities, Probabilistic Programming.
In this context the job purpose is to develop, lead and sustain research of international standard in research areas described above; to actively engage in teaching at undergraduate and/or postgraduate level and to play a role in developing and executing School strategy, management and organisation.
Standard Terms & Conditions
Salary will be on the Research & Teaching Grade, level 7/8/9, £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum.
Please see our candidate brochure for further information, and other opportunities, within the School: http://online.fliphtml5.com/hjth/qzdi/
As part of your application as part of your cover letter you should submit one-page research and teaching statements outlining your vision for research and what you think matters for teaching, together with a link to your Google scholar page. It is the School’s standard practice to invite selected candidates to visit the School to provide a lecture and meet academic staff. You are therefore strongly encouraged to discuss your application with the Section Lead, Professor Rod Murray-Smith, at the earliest opportunity. Email Roderick.Murray-Smith@glasgow.ac.uk or telephone 0141 330 4984.
New entrants to the University will be required to serve a probationary period of 6 mon
Link:
http://online.fliphtml5.com/hjth/qzdi/
PhD studentship(Glasgow and Telefonica)
University of Glasgow and Telefonica Barcelona
PhD Studentship:
Continuous Calibration of Behavioural Models
Supervisor: Professor Roderick Murray-Smith and Dr John Williamson, University of Glasgow, Scotland, School of Computing Science
contact Roderick.Murray-Smith@glasgow.ac.uk (I’m at NeurIPS all week!) Details: 42 months, full time -- stipend and fees for EU/UK citizens
Abstract:
The penetration of smartphones and wearables, coupled with advancements in machine learning techniques, announces a new era in behavioural analysis. Telefonica Alpha - Health Moonshot relies on such passive sensors of human behaviour to develop a series of models to infer and monitor user’s: 1) daily activities, 2) feelings, 3) personal traits. Based on these models, the Recommender System will suggest optimal interventions at appropriate time as part of personalised behavioural change programs.
Models derived from passively collected sensor data need to be regularly refined and calibrated for multiple reasons, e.g. cold-start problem typical for the initial usage, data changes and inconsistencies that happen in long-term. This proposal focuses on tackling various challenges towards enabling a continuous calibration of models developed from passively collected smart-phone sensor data.
Short-term calibration for a continuous improvement
When a new user joins the system there is a limited data available to develop a personalised model. To address the problem of cold-start, typically generic models are trained using the data from previous subjects. As the data from a new user is being collected, the goal of this proposal will be to exploit this new data to continuously calibrate the models making them personalised over time.
Long-term calibration to address changes in the data
Over time, data will be inevitably changing due to several factors, namely a) as the platform impacts user behaviours, the collected data and the developed models are consequently impacted, b) new technologies (such as new smart-phone models) typically bring dif
Link:
https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/closedloop/
36 month post doc Mathematical analysis & statistical modelling of information processing systems and large scale distributed data system
University of Glasgow (collaborating with JP Morgan)
Mathematical analysis & statistical modelling of information
processing systems and large scale distributed data system
School of Computing Science; University of Glasgow, UK
Contact Roderick.Murray-Smith@glasgow.ac.uk (I’m at NeurIPS all week!)
Purpose & Vision: Working on the “Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics” project coordinated by PI Prof Roderick Murray-Smith, working with Dr Nikos Ntarmos & Dr Christos Anagnostopoulos.
Academic Knowledge: The job requires expert knowledge in predictive modelling & exploratory analytics, and in applying statistical and machine learning methods to large-scale distributed computing systems and information processing systems. The work involves working closely with the technical team at JP Morgan’s Glasgow office.
Research Responsibilities: The Research Fellow will lead and sustain the research activity (or aspects thereof) associated with the Closed-loop Approaches to Data Science project, managing the project’s research portfolio on a day to day basis in accordance with the project deliverables/protocols. The fellow will work together with other collaborators in the project, support the PI and Co-Is in working effectively with data partners both in University of Glasgow offices and in company/data provider offices.
We seek for a research fellow who will contribute to the formulation and submission of high impact research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow. The research impact of this role will be expected to have economic/societal benefit and enhance the esteem of the University of Glasgow.
Fellow Profile & Esteem: Both independently and in collaboration with colleagues and possibly external stakeholders, the research fellow will lead the identification and attracting of independent and external funding sources to secure and underpin the long-term growth and sustainability of the resear
Link:
https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/closedloop/
18 month Post-Doc position: Machine learning in medical imaging
University of Glasgow
Supervisor: Professor Roderick Murray-Smith, contact Roderick.Murray-Smith@glasgow.ac.uk School of Computing Science, University of Glasgow, Scotland,
Details: 18 months, full time or longer part-time, working on the safe haven for machine learning in medical imaging.
Link:
www.dcs.gla.ac.uk/~rod
Natural Language Processing DevOps Engineer
Scribendi Inc
We are seeking a dynamic, innovative thinker who is looking for a tremendous opportunity to solve some of the language industry’s most exciting problems. You will be a key member of a small and versatile team.
Our team style:
We are a small team of developers working in a profitable and rapidly growing company
We strive to be innovative and fast-moving and are passionate about getting things done right
We work collaboratively to grow and learn together
We are not afraid of difficult problems but carefully choose what we spend time on
What you will do:
Implement automated processes to efficiently deploy deep-learning models in production
Collaborate with IT and software development engineers
Research, design, implement, and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
Perform data studies of new and diverse data sources
Conduct modeling and experimental design
Test and validate predictive models
Design, modify, and build new data processes
Generate algorithms and create computer models
Implement new or enhanced software, designed to access and handle data more efficiently
Who you are:
M.Sc. or Ph.D. in Computer Science (or similar) with two years of industry experience in machine learning/deep learning
Experience in deploying deep-learning models in production
Experience with one or more general purpose programming language, including but not limited to Java, Lua, and Python, as well as experience with the Torch, Tensorflow, Pytorch, and Theano frameworks
Ability to write clear, concise, well-structured, and well-organized code
Strong communication skills (orally and in writing)
Experience with microservice architecture
Employment type:
Full-time
Please apply with a resume and cover letter to scribendi (dot) hr (at) scribendi (dot) com detailing your experience in relation to the above-stated job requirements as well as your salary expectations.
Link:
scribendi.com
Machine Learning Engineer (Data Scientist)
Capital One
Join Capital One Tech College and help us teach new Machine Learning Engineers and Data Scientists. We need people with experience in ML and a passion for sharing what they know. Check the link for more info.
Link:
https://bit.ly/2KQr6GQ
PhD Studentship: Modelling and evaluating closed loop interactions in recommender systems
University of Glasgow
PhD Studentship:
Modelling and evaluating closed loop interactions in recommender systems
Supervisor: Dr Craig Macdonald and Professor Iadh Ounis
Host: University of Glasgow, Scotland, UK
School of Computing Science
Section: Information, Data and Analysis (IDA)
Details: 42 months, full time -- stipend and fees for EU/UK citizens
Abstract:
Machine learning techniques are widely used to address many recommendation scenarios – such as suggesting a movie to watch, or recommending a point-of-interest to visit in a city, often by learning from historical user data. However, recommendation systems can be influenced by what users have already been recommended and thereafter viewed/visited, rather than what these systems might have found to be relevant of their own accord – for instance, the movie recommender might start to recommend movies that are already popular from its previous recommendations.
Such an effect can be described as a filter-bubble or a closed-loop feedback, and has been typically avoided through introducing novel or serendipitous recommendations into the suggestions. However, the alternative use of approaches originating from closed-loop theory, such as intermittent control, have not been systematically investigated within recommender systems.
This PhD will be focussed on applying ideas and techniques from closed-loop theory to state-of-the-art recommender systems. The candidate will investigate the modelling and deployment of closed-loop recommender systems using new neural networks architectures in comparison with traditional matrix factorisation and BPR-based recommenders. The evaluation of the resulting systems will be conducted using both public benchmarks in recommender systems as well as within the experimental pipeline of some of our data partners in the Closed-Loop Data Science project funded by the UK’s EPSRC research council.
Link:
https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/closedloop/
Principal Data scientist
B-yond
Company Description
Audela is an R&D firm developing solutions based on Artificial Intelligence to help organizations build unbundled, open-source, technology agnostic, virtualized, software-defined networks.
Job Description
The Data Scientist will help develop the Research and develop statistical learning models for data analysis and keep up-to-date with latest technology trends.
The primary responsibilities…
Develop flexible and robust runtime algorithms
Develop, maintain and improve our state-of-the-art AI systems, including path-finding, navigation, perception, behavior execution, vehicle control, and autonomous decision making
Develop robust and reusable AI frameworks
Responsible for implementing and refining the AI for components of our games
Implement AI behavioral features and refine as needed
The challenges...
Networks and Clouds are complex, multi-tiered ecosystems with a high level of integrated components. They also service millions of users and generate massive amounts of data. This makes the management and control highly challenging, but also very susceptible to automation, especially AI. Our challenge is to translate this wealth of data and information into processes and procedures that improve the services for everyone from enterprises to digital lifestyles.
Building the intelligence that makes our product stand out above anyone else’s in the market. This involves on one part selecting the problems where making a difference has an impact but also developing top-performing models for these solutions.
What success looks like...
Development and delivery of successful algorithms that address defined business problems
Continuous experimentation to achieve above and beyond what the current technology enables
Innovating new methods and novel solutions in data science
What makes it rewarding...
Transforming an industry with cutting-edge technology
Senior Machine Learning Engineer
Rad AI
At Rad AI, we're using deep learning to increase speed and accuracy in the field of radiology. These increases will both save lives and reduce the costs associated with medical imaging diagnostics.
We're funded by some of Silicon Valley's most experienced AI-focused investors (not yet announced), and we're looking for great people to join our early team.
Here's a quick overview: https://docsend.com/view/c5hu4pm
Link:
https://jobs.lever.co/radai
Postdoctoral Fellow at the Data Institute @ USF
University of San Franciso Data Institute
Trying to decide whether you want go into a academia or industry? This postdoctoral fellowship, in the heart of San Francisco, provides opportunities to help you decide. Get more details here:
https://www.mathjobs.org/jobs/jobs/12845
Link:
https://www.mathjobs.org/jobs/jobs/12845
Research Position @INRIA (3 years) Machine Learning for Numerical Engineering
INRIA
The INRIA-Saclay team TAU is looking for a Research Scientist, holding a PhD in Computer Science and with a few years of research experience, to work on the hybridization of Machine Learning techniques and Numerical simulations (e.g. based on ODEs, PDEs and their numerical solutions). The main focus is on fundamental research, with target applications from IFPEN (Institut Français du Pétrole Energies Nouvelles), which is funding the position. The researcher will be an Inria employee during the duration of the contract.
The candidate should have a good experience in Applied Mathematics and Computer Science. S.he should hold a PhD in in either Numerical Analysis of PDEs or Machine Learning -- or at least in some closely related field. S.he should have some inclination toward programming, with proven skills, preferentially in Python. Ideally, s.he should have some experience with existing Open FEM and ML libraries (e.g., FreeFEM and Scikit Learn).
The candidate should be experienced and autonomous, able to define original research directions in the context described above.
Data Science & Machine Learning Internship Program - New York
J.P. Morgan
Delivering excellence at the intersection of data science, research and industry expertise, our Data Analytics team goes beyond where any bank has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing financial problems, and improve and protect our customer and client experiences every day. Whether you’re working with artificial intelligence, blockchain technology, big data, machine learning or robotics, our intrapreneurial team environment challenges our Data Scientists to push the limits of their expertise in the pursuit of impactful and commercial real world applications.
WHAT YOU CAN EXPECT
Our summer associate internship program in New York are 3-6 month cycles starting in either May or June. Your learning and growth will be supported throughout the entire internship.
Full-time employment offers may be extended upon successful completion of the program.
You can launch your career with us in one of several opportunities:
Data Analytics
The Data Analytics team combines cutting edge machine learning techniques with the company’s unique data assets to optimize the business decisions we make. In this role, you will develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions. You’ll use business intelligence to create predictive models and automate decision making. Our work spans the company’s lines of business, with exceptional opportunities in each.
Quantitative Research (QR) Machine Learning
Our Quantitative Research team is looking for talented graduates in machine learning and related fields who want to join the transformation of our investment bank into a data-led business. Closely embedded within the business, we drive change through innovation and business process optimization using state-of-the-art machine learning techniques
Link:
https://jpmchase.taleo.net/careersection/10140/jobdetail.ftl?job=180090415
Quant Developer
Quadrature Capital
QUANT DEVELOPER
Founded in 2010, we’re a small tech business run by programmers. Using cutting edge technologies and complex algorithms, we analyse petabytes of structured and unstructured data to trade in a way that’s impossible for humans. Our trading is entirely automated and we look to bring automation to everything we do.
Our people are kind, diverse, friendly and humble and bring a wealth of experience from the likes of Apple, Facebook, Google, Microsoft, Yandex, tech start ups, hedge funds and banks. They’ve joined to play a personal part in the growth of our business and deliver tangible results to our trading and bottom line.
THE ROLE
Rather than separating the roles of ‘Quant’ and ‘Developer’, we have a unified team of Quant Developers. The work is varied and there are plenty of learning opportunities: our Quant Developers can design and implement trading infrastructure, build data analytics tools or develop real-time execution strategies.
Design extremely high-performance, highly-reliable and finely-tuned programs, implemented in Python/Cython and C++ with production-quality code
Design and implement the full stack of trading infrastructure from the exchange level to workflow management
Develop trading strategies using statistical and ML approaches
Extend and optimise the research and analysis process
Develop ways to automatically trade multiple asset classes globally
ABOUT YOU
Significant programming experience is a must, as is a genuine passion for solving complex problems through programming
You know your data structures and algorithms, and can practically apply the knowledge to real world problems
You may have a passion for ML and NLP, with ambitions to use these models to help solve algorithmic challenges and extract information from a wide variety of data sets
We deliver in a Linux environment, mainly in C++ and Python/Cython, and embrace grid computing. Skills and knowledge here would be very helpful, but not essential
Link:
https://www.quadraturecapital.com/careers/jobs?gh_jid=220510
Machine Learning Engineer
Synthesized
Synthesized is hiring ML engineers to work on state-of-the-art machine learning generative models. The company is on a mission to transform the way how our society works with data and develops novel privacy-preserving techniques. Led by PhD scientists from the University of Cambridge and backed by leading European investors, Synthesized is collaborating with many technology companies.
Link:
https://synthesized.workable.com/j/CEEB9E20D4
Postdoctoral Fellow
Duke University
Please see the link for three postdoc openings at Duke University under Prof. Vahid Tarokh (http://people.duke.edu/~vt45/):
1. Postdoctoral Fellowship in Physics Inspired Approaches to Artificial Intelligence
2. Postdoctoral Fellowship in Data-Driven Approaches to Stochastic Adversarial Games
3. Postdoctoral Fellowship in Non-Commutative Information Theory and Processing
To apply, please follow the instructions in the linked PDF.
For inquiries, please contact Prof. Tarokh directly.
Link:
http://people.duke.edu/~vt45/postdocads.pdf
ML Engineering Manager, ML Software Engineer, Data Scientist
Affirm
https://bit.ly/2Qbuz94
https://bit.ly/2F0PlOg
https://bit.ly/2Pj1xPw
Affirm is a fintech startup focused on making consumer finance more honest and friendly. Started by PayPal co-founder Max Levchin, we are looking for engineers and data scientists to develop and build out models for fraud detection, credit underwriting, and risk management.
Perception, Computer Vision Engineer/Researcher
Waymo
The perception team at Waymo makes sense of the world, relying on a diverse suite of sensors. We apply cutting-edge technologies and machine learning to tackle the long tail of situations found in the real-world: detection / classification across many types of objects, sensor fusion, segmentation, tracking and time sequences, etc. This involves not only processing the raw sensor data, but also creating data representations for the learning tasks, building ML models to detect/classify objects, and integrating the ML components into the production perception pipeline and make a real impact. The entire perception stack runs in real-time and in a computationally constrained environment (the car).
We are looking for software engineers who are passionate about applying computer vision techniques to self-driving cars, and have an incessant drive to improve the performance of our technology stack. You’ll need to enjoy tuning your solutions to a fine tuned level of performance and help preserve the overall safety of our systems. You’ll be working with a creative team of engineers who solve similar challenging problems and help advance the state of the art of the self-driving perception system.
Extensive experience in computer vision is required (5+ years). Ph.D. work in a closely related domain, deep learning expertise, as well as strong engineering skills are highly desired.
Intern, Software Engineering, Perception & Semantics
Waymo
Waymo is the self-driving technology company with a mission to make it safe and easy for people and things to move around. Building on software and sensor technology developed at Google, Waymo is now launching the world’s first fully self-driving transportation service that will take members of the public from A to B at the touch of a button.
Software Engineering builds the brains of Waymo's fully self-driving vehicles. Our software allows our vehicles to perceive the world around them, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.
The Perception team makes sense of the world, relying on a diverse suite of sensors. We apply cutting-edge technologies and machine learning to tackle the long tail of situations found in the real-world: detection / classification across many types of objects, sensor fusion, segmentation, tracking, understanding time sequences, predicting future intent, etc.
In this perception & semantics internship, you'll:
Explore new state-of-the art robotics and machine learning techniques to improve our system’s capabilities
Design, prototype, implement, and deploy software to solve problems related to various topics
At a minimum we’d like you to have:
Enrolled in a MS/PHD program in Computer Science, Robotics, or a similar technical field of study
Experience in at least one of: machine learning, robotics, computer vision, or data mining
Experience in data structures and advanced algorithms
Experience programming in C++ and/or python
It’s preferred if you have:
Familiarity with TensorFlow
Publication record in computer vision/machine learning/robotics conferences
MSR redmond summer intern deep learning and nlp
Microsoft
Examples of current projects and directions in deep learning and natural language processing include:
Foundations of deep learning, theory and algorithms
Natural language processing with applications to language understanding and language generation
Conversational systems research with a focus on reinforcement learning and transfer learning
Multimodal processing with applications to visual question answering, visual dialog generation and knowledge/image grounded language understanding and generation
Reasoning with a focus on visual/textual question answering
Program synthesis from input-output examples and natural language using graph neural networks and neuro-symbolic techniques
Deep learning in real-world applications
Link:
https://careers.microsoft.com/us/en/job/547885/Research-Intern-Deep-Learning-and-Natural-Language-Processing
ML Researcher for Human Computer Interaction
Huawei Canada
Responsibilities
Lead HCI research and product projects to build core competitiveness for Huawei mobile devices.
Work with professors around Toronto as well as experts from partner companies to define UI of next generation.
Design cutting-edge UX+AI solution and transfer research results to commercial mobile products.
Develop prototypes of next generation mobile system powered by the deep understanding of user profile, user behavior and sensory data.
Qualifications:
PhD degree in Human Computer Interaction (HCI)/Graphics/related area with strong publication history in HCI conferences and/or journals
At least 5 years’ experience as an HCI architect/researcher
Preferably has a solid experience of applying AI and ML solving real world problems
Familiar with software architecture on mobile device as well as sensor/mobile app data model
Strong communication skills (good at communicating with both academics and industry people)
Interested in cross-domain research and has the ambition to change the world
Work ethnics: responsible and reliable
Link:
http://chj.tbe.taleo.net/chj04/ats/careers/requisition.jsp?org=HUAWEICA&cws=1&rid=961
Computer Vision Researcher
Huawei Canada
Responsibilities
Collaborate with a team of researchers and conduct academic and applied research;
Research and develop Machine Learning algorithms, including video detection, video segmentation, video semantic understanding, object tracking in video;
Research and develop image processing/learning algorithm, including image recognition, image classification, object detection, image semantic understanding;
Develop visual/image learning algorithms for realistic business applications;
Develop solutions to real world problems.
We are looking for passionate engineers who have conducted active and excellent research in one or more of the following research directions:
Machine learning algorithms research and development, including video detection, video segmentation, video semantic understanding, object tracking in video, etc;
Image processing/learning algorithm research and development, including image recognition, image classification, object detection, image semantic understanding, etc;
Develop visual/image learning algorithms for realistic business applications.
Qualifications
Advanced knowledge of computer vision, image processing, statistical machine learning, etc.;
Proficiency in common programming and scripting languages (such as C/C++, Java, Shell, Python, etc.);
Publication in computer vision, pattern recognition, machine learning or related fields is a plus;
Advanced communication and practical problem solving skills.
Link:
http://chj.tbe.taleo.net/chj04/ats/careers/requisition.jsp?org=HUAWEICA&cws=1&rid=1227
Machine Learning Researcher
Qualcomm
Machine Learning Researcher
Summer Internship and Full-Time Positions
Qualcomm Technologies, Inc. (San Diego)
Join a growing team at Qualcomm focused on cutting edge problems in Machine Learning, and see your work come to life in a billion mobile devices around the world. Our large datasets (1000+ terabytes every year) are feature-rich, and are being studied in ways never done before.
Ongoing investigations in our team revolve around:
Deep Learning
Reinforcement Learning
Few-shot Learning
Efficient Reinforcement Learning
Bayesian Optimization
Unsupervised Learning
in the context of various high dimensional optimization problems (e.g., minimize chip cost, power, area; optimize server farms’ scheduling and compute).
Ideal candidates will check many of the boxes below:
An amazing team player – most important!
Strong background in Machine Learning fundamentals
Strong analytical skills
Comfortable developing code in Python, TensorFlow, PyTorch
Pursuing a MS / PhD degree in EE / CS / any relevant field
Knowledge of circuits / VLSI concepts is a plus
Resumes may be sent to Machine-Learning-Careers@qti.qualcomm.com
Machine Learning Engineer - Center of Excellence
JPMorgan Chase
Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
2+ years of hands-on experience developing machine learning models.
Ability to develop and debug in Python, Java, C or C++. Proficient in git version control.
Link:
https://jobs.jpmorganchase.com/ShowJob/Id/8060/Machine-Learning-Engineer-VP-Center-of-Excellence/#.XAaUEKyAfDQ.email
DL. Generative Models for Automation
Nanotronics
Applied research in decision making for automation amd process control
ML post-doc@ Univ St-Etienne, France
University of St-Etienne
A postdoc position related to multview/source learning is available in the ML/Data Intelligence team of the University of Saint-Etienne.
Research topics of interest include but are not limited to:
-theoretical frameworks,
-representation learning approaches,
-deep learning approaches,
-transfer learning,
-optimal transport,
-development of new algorithmic approaches,
-dealing missing views.
More information on the associated page Web.
Contact us if interested .
Send applications to {amaury.habrard,emilie.morvant,ievgen.redko}@univ-st-etienne.fr
you can come to visit us at poster 152 during wednesday morning poster session at NeurIPS
Link:
http://perso.univ-st-etienne.fr/me63854h/misc/offer_post_doc_lives.html
Tenure Track Data Science @ University of San Francisco
University of San Francisco
Interested in a tenure track position supporting the graduate and undergraduate Data Science program in the heart of San Franciso. Message me and I'm happy to meet up.
Link:
https://www.usfjobs.com/postings/14847
Smart Agents Developer Intern
SAP
As a member of the SAGE team, you will use your creativity and technical skill to create ML-based autonomous Agents that discover, assess, and address potential challenges during the development of software products.
The SAGE development team in Montreal is seeking talented master’s student or a recent graduate for paid internships of 4 to 8 months. Join us at our sunny, newly-renovated office, conveniently located in the heart of downtown Montreal at the Peel metro subway station.
Skill set:
- Experience in Java and an interest in open-source technologies
- Familiar with machine learning fundamentals
- Excellent command of the English language
- Familiar with Spring, REACT, or Angular JS.
Machine Learning Engineer/Researcher/Intern
OccamzRazor
OccamzRazor is a computational medicine company comprised of machine learning researchers, engineers, and biologists working on finding curative therapies for Parkinson's disease. Our ongoing projects use techniques from information extraction, semi-supervised learning, knowledge graphs, and clustering. Our goal is to build the first complete knowledge map of Parkinson's disease. We are based in New York and San Francisco (and thinking of opening an office in Montreal 😊)!
Link:
www.occamzrazor.com
Machine Learning Intern or Contractor
Huawei Canada
Noah's Ark Lab in Montreal offers a Machine Learning Intern or contract position for those who recently graduated.
Responsibilities
* Work on different Machine Learning (ML) methods with application on communication/wireless networks;
* Implement algorithms for the proposed methods and models;
* Working closely with researchers in the team;
* Keeping up-to-date on selected areas of machine learning (such as deep learning and reinforcement learning);
* Writing scientific reports;
* Submitting manuscripts to top conferences.
*
Qualifications
* Good understanding of basic ML methods (supervised/unsupervised learning);
* Good knowledge of Deep Learning (DL) components (training, regularization, test);
* Familiarity with common DL architectures (CNNs, RNNs, AEs, GANs);
* Good understanding of wireless communication systems, especially physical layer;
* Strong coding skills in Python, R or Matlab;
* Experience with coding in Tensorflow or Pytorch;
* Having good communication skills
* Master’s or PhD.
Manager, Planning & Strategy
Huawei Canada
Noah's Ark Lab Montreal offer a management position to help support our natural language processing, machine/deep learning and neural network technologies teams.
RESPONSABILITIES
· Build, recommend and implement strategies and plans to help support AI related R&D of Huawei Canada;
· Keep well-informed of new developments and trends, and aware of competitive intelligence in the AI industry;
· Develop and maintain relationships and partnerships with AI community participants and leaders (academic & corporate) in Montreal and elsewhere to provide top-quality collaborations and help grow Noah’s Ark;
· Regularly liaise with headquarters and other facilities in China and Canada.
QUALIFICATIONS
· University degree (graduate candidate or degree is a great advantage);
· Possess at least 3 years of experience as a strategist, planner, account or customer experience manager in disciplines related to AI, machine/deep learning and natural language processing;
· Fluency in Mandarin to liaise regularly with headquarters and other facilities in China.
Seniority Level
·Mid-Senior level
Machine Learning Scientist: Chemistry and Materials
Kebotix
Kebotix is a tech company leading the materials industry towards the age of high-speed innovation using artificial intelligence and robotic automation. Our technology is centered around smart algorithms that allow for discoveries of new materials that solve the problems around us.
We are looking for a Machine Learning Scientist who will be a member of a multi-disciplinary team working in a fast-paced startup environment. You will be responsible for investigating state of the art techniques in machine learning and probabilistic modeling. This includes the design, development, and deployment of scalable systems for innovative analytics applications in the field of functional materials, chemistry, and pharma. Further, you will work on integrating the machine learning tools into the data and workflow pipelines and implement interfaces with automation systems.
For full description please visit https://www.kebotix.com/careers/
Link:
https://www.kebotix.com/careers/
Data Scientists
Unity technologies
Many roles and building a new data science team in
Machine Learning Fellowship - FDA/UCSF/Stanford
FDA/UCSF/Stanford
An opportunity is available at the U.S. Food and Drug Administration (FDA), Center for Drug Evaluation and Research (CDER) in Silver Spring, Maryland and Stanford University/University of California, San Francisco.
The office of clinical pharmacology (OCP) at the U.S. FDA is launching an Artificial Intelligence (AI) initiative to support the healthcare applications of this technology as an emerging frontier in regulatory decision making. As part of this initiative, OCP is partnering with the UCSF-Stanford Centers of Excellence in Regulatory Science and Innovation (CERSIs) to offer a one year ORISE (Oak Ridge Institute for Science and Education) fellowship opportunity for an interested participant to conduct high impact regulatory science research.
This AI fellowship provides the opportunity for an outstanding individual to train in collaboration closely with scientists at both Stanford University/UCSF, and the FDA to conduct research that will advance new drug development and promote public health. During participation in this program, the Fellow will engage in various activities that include but are not limited to the applications of AI/machine learning (ML) for precision medicine, drug development and regulatory science.
The opportunity details can be found:
https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355
If you have questions, please contact Qi.Liu@fda.hhs.gov and/or Daphney.Jean@fda.hhs.gov
Link:
https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355
Ph.D. Fellowship: Diversity in AI for Good
Dataminr
We’re launching a 3 to 6 month fellowship for full-time Ph.D. students. As a recipient, you’ll have the opportunity to work on a project involving diverse, national nonprofits and global NGOs that are dedicated to fostering human development, empowerment and assistance/aid, such as the AIDS Healthcare Foundation, CARE USA, Mercy Corps, and others. You will be able to work on a project that influences and shapes products used directly by first responders (e.g., NYC Emergency Management) who require real-time information and context on breaking events, so that they can mobilize and respond quickly. And you’ll be able to work on projects that support humanitarian assistance being delivered in diverse settings and locations worldwide.
Dataminr delivers real-time, actionable alerts that are derived from vast amounts of publicly available information. Our clients are the first to know about high-impact events and critical breaking information, giving them the opportunity to act faster and stay one step ahead when every second counts. We are a mission-driven company committed to the power of real-time information as a force for good in the world.
Our groundbreaking AI and machine learning technology cuts through the noise in an increasingly complex landscape by detecting, classifying, and determining the significance of public information. Headquartered in NYC, Dataminr has revolutionized the way that global news, finance, public sector, corporate security and PR/communications professionals know and act on critical, relevant information to protect people, assets and brands.
We've grown to over 450 employees across six global offices, raised over $570 million from leading investors, and received numerous awards, including recognition from CNBC as one of the world’s 50 most disruptive private technology companies in 2016 and joining Forbes’ definitive list of the top 100 private cloud companies in the world, in 2017 and 2018.
Available to meet at NeurIPS.
Link:
https://boards.greenhouse.io/dataminr/jobs/1462474
Applied Scientist (Machine Learning), full time / intern / ML manager
Amazon
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for our India Consumer Businesses.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
Major responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, development and evaluation of highly innovative models for predictive learning
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with operations staff to optimize various business operations,
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning and statistical approaches
Link:
https://www.amazon.jobs/en/jobs/743125/applied-scientist-machine-learning
Applied Scientist(DL/NLP full time@Amazon Ads)
Amazon
Amazon is investing heavily in building a world class advertising business to define and deliver a collection of ad products that drive long-term customer value. Sponsored Brands owns an auction based, keyword targeted, mid funnel ad product designed for brand owners. The Sponsored Brands Relevance and Recommendation team consists entrepreneurial machine learning scientists and engineers who are responsible for developing core ML models and model development pipelines. This role will utilize cutting-edge ML models in the domain of predictive modeling, deep learning, natural language processing that intelligently match shoppers with advertisers.
Major responsibilities
· Use machine learning and analytical techniques to create scalable solutions for business problems
· Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
· Design, development and evaluation of highly innovative models for predictive learning
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Basic Qualifications
· Master degree in Computer Science, Engineering, Applied Mathematics or in a highly quantitative field.
· At least 1 year of experience in at least one programming language (i.e. C, C++, Java, Scala, Python).
· At least 1 year of experience in modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, etc.
· Experience in machine learning research and application.
· Strong communication and presentation skills.
Preferred Qualifications
· PhD degree in Computer Science, Engineering, Applied Mathematics or in a highly quantitative field.
· Publications in top conferences and journals in related fields.
· At least 1 year of Industrial experience of building end-to-end machine learning applications.
Senior NLP Research Scientist
Netflix
Netflix is a global leader in entertainment with over 130 million members in 190 countries. While we are making great strides in becoming the biggest and most data-driven studio the world has ever seen, we are also continuously innovating our ways to promote better customer experience. Customer Service (CS) is one of the few verticals in which we directly collect customer feedbacks across the globe (via phone, chat and social media). Using data from a global network of call centers, extensive self-help articles we solve customer problems and aim to improve our product experience before problems arise.
We are looking for a highly motivated Senior Data Scientist that will help bring our customer experience to the next level. You will be
Leveraging NLP to uncover deeper consumer insights from phone contacts, live chat, and social media interactions to inform product initiatives in improving the customer experience.
Building machine learning models to optimize our customer support process and personalize our customer’s self-help experience.
Working with a diverse set of stakeholders across operation and product, serving as a strategic partner to define high impact analytical problems and find innovative ways to solve these problems via data, machine learning solutions and experimentation.
Partnering with other research scientists on solving a broader set of NLP challenges across Netflix.
Qualifications:
Ph.D. in Computer Science, Statistics, Physics, or related quantitative field
Solid experience with Natural Language Processing (NLP). Strong fundamental knowledge of regression, decision trees, pattern recognition, probability theory, neural networks.
Expert in Python, or another scripting language (R, Perl); command line usage
Extensive experience with SQL
Experience working directly with cross-functional teams such as executive leadership, operations, product management, and technology.
Excellent communication skills: written, verbal and presentation skills
Link:
https://jobs.lever.co/netflix/c68de142-7075-4d6d-9b66-5ce405da2f6c/apply
Research Engineer-Deep Learning Theory and Algorithms
Samsung Semiconductor, Inc.
Samsung Semiconductor, Inc. in San Diego is searching for research engineers at all levels. Candidate will work as part of a team on research and development of algorithms and theory of machine learning. Candidate will research fundamental theoretical aspects of deep learning as well as develop novel techniques to advance the theory and practice of deep learning. Candidate can also apply the developed theory and algorithms to advance the performance of multimedia applications, such as computer vision, augmented reality, natural language processing, or speech processing.
JOB RESPONSIBILITIES
Understand state of the art machine/deep learning concepts, theory, and applications.
Research algorithms and theory of learning.
Develop machine/deep learning algorithms for mobile processors.
Develop simulators and analyze the performance.
Produce key intellectual property for machine/deep learning.
REQUIRED SKILLS
Strong analytical and problem-solving skills
Expertise in machine/deep learning, optimization, probability theory, statistical inference, information theory, signal processing, and/or image processing
Excellent communication and teamwork skills
C/C++, Python, and/or MATLAB coding skills
Publications in highly ranked journals and conferences
PhD is required
PREFERRED SKILLS
Experience on popular deep learning frameworks
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job%2FoAFT7fwZ
Deep Learning Engineer (Speech and Language Processing)
Samsung Semiconductor, Inc.
Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for algorithm development. Candidate will work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Candidate will conduct research for automatic speech recognition and/or natural language processing algorithm development. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development.
Responsibilities
Understand speech processing, acoustic modelling, language modelling, and speech recognition
Understand machine learning concepts and applications and experience with deep learning algorithm development
Develop signal processing or machine learning algorithms for automatic speech recognition or language processing.
Make simulators and study the system performance.
Minimum Skills
PhD in Computer Science or Electrical Engineering.
Strong analytical and problem-solving skills
Expertise in signal processing, estimation theory, computer science, and/or machine learning
Excellent communication and teamwork skills
C/C++, Python, and MATLAB coding skills
Preferred Qualifications
Experience in machine learning algorithm design and deep learning packages for multimedia processing
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job%2FokRT7fwV
Deep Learning Engineer (Computer Vision)
Samsung Semiconductor, Inc.
Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for research and algorithm development. Candidate will work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Candidate will conduct research in deep machine learning techniques and find solutions for computer vision, image and video processing. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development
Responsibilities
Strong knowledge of computer vision, image and video processing, visual understanding.
Understand machine learning theory, concepts and applications
Experience with deep learning algorithm development
Develop signal processing or machine learning algorithms for computer vision.
Make simulators and study the system performance.
Experience with deep learning and machine learning packages
Minimum Qualifications
Strong analytical and problem-solving skills
Expertise in signal processing, computer vision, image processing, computer science, and/or machine learning
Excellent communication and teamwork skills
Strong software skills, e.g. C/C++, Python, and MATLAB
Strong publication record
PhD in Computer Science or Electrical Engineering.
Preferred Qualifications
Experience in machine learning algorithm design for computer vision.
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job%2FouiT7fww
ML/HPC postdocs in Berkeley
Lawrence Berkeley National Lab
We are looking for postdocs with experience in writing software and scientific simulations to work on a wide range of exciting science projects that will run on our upcoming heterogeneous (GPUs and CPUs) HPC system, Perlmutter. Positions are available in 1) scientific simulations, 2) data-intensive science applications, and 3) machine learning and deep learning applications. If you like to optimize code or data pipelines for science, or if you like to develop and apply sophisticated machine learning techniques to scientific problems, NERSC has a project that fits with your interest and skills.
We would like to encourage you to apply and also forward to colleagues who might be interested.
The advertisement can be found at: https://lnkd.in/gYwaedw
Link:
https://lnkd.in/gYwaedw
Machine Learning Engineer
Pupil Labs
We are looking to hire a machine learning engineer to join our research and development team in Berlin, Germany, on a full-time basis.
Pupil Labs is the world-leading provider of mobile eye tracking solutions. We design, build, and ship analysis tools that are used by thousands of researchers in a variety of fields, ranging from medicine and psychology to UX design and human-computer-interaction.
We tackle a multitude of challenging computer vision problems including fundamental eye tracking algorithms, such as pupil detection and gaze estimation, as well as scene understanding and human behavior analysis.
Responsibilities
Develop novel machine learning approaches to problems in eye tracking and egocentric vision.
Drive projects from the initial idea to production-ready implementation.
Contribute own ideas and help shaping future research efforts.
Work closely together with the rest of the R&D team.
Potentially lead small project teams.
Requirements
You have a strong background in math and computer science.
You have 3+ years of experience in solving machine learning problems.
Preferably you have experience in designing machine learning solutions that scale well.
You are fluent in Python.
Preferably you have experience with PyTorch.
You are self-motivated and excited about pushing the boundaries of the state of the art.
You are comfortable in written and spoken English.
Perks
Location - We are open to discussing semi-remote work. We have two offices! One in Berlin and another satellite office in Bangkok. We are open to discussing travel to/work at either location.
Continue learning and developing professionally - We will sponsor you to attend relevant scientific/developer conferences.
Send CV and github link (or personal website link) to jobs@pupil-labs.com.
Or drop us a message at mar@pupil-labs.com or kai@pupil-labs.com if you want to have an informal conversation at the conference! :)
Link:
www.pupil-labs.com
Machine Learning Engineer
Proportunity
Our mission at Proportunity is simple: use technology to help turn generation rent into generation own. We’re well funded by some of the world's best investors and are backed the leading real estate advisory in the UK. If you have big dreams, so do we!
If you’re data driven, ambitious, have a pragmatic mindset and are looking for a challenge to your machine learning skills, come join us!
Our team turns data into quantifiable insights that help real estate investors make safer, more informed decisions. We analyse large amounts of data from various sources in multiple formats to understand how the real estate market evolves over time, and take a peek into future growth.
The mindset we share at Proportunity is that we don’t expect anyone to know all the answers, but we should have a plan how to get closer to them. We like to learn, adapt and share knowledge with the team.
Benefits
* Full-time with flexible hours
* 5 weeks vacation
* Competitive salary
* Employee stock options
* Computer/workstation provided
* Fast-growing startup culture
* Fun team mates
* Encouragement of personal projects and creativity
Must-have
* You have experience building predictive models for time series data
* Turning data into awesome insights is second nature to you
* You’re passionate about technology, machine learning and programming
* You have at least 3-5 years work experience in machine learning and/ or AI research
* You (are about to) hold either a PhD or MSc in Math, Statistics and/ or Computer Science
* You’re familiar with or have been using frameworks such as TensorFlow, Torch, Theano, Caffe, CNTK etc.
* You’ve been using Python and/or MATLAB regularly
* You’re familiar with pandas, numpy and/or scikit-learn
* You're a team player, but you can independently take charge
* You have good communication skills
* You speak English
Link:
https://angel.co/proportunity/jobs/222514-machine-learning-engineer
PostDoc opportunities in Australia
Deakin University
We are a leading machine learning lab in Australia. We currently have openings for postdoc researchers with handsome pay (AUD 90k+). Focus areas are deep learning, and Bayesian optimisation. Would love to catch up if you’re interested. Thanks.
NASA Frontier Development Lab Researcher
NASA Frontier Development Lab
Join us for an 8 week applied AI research accelerator program at NASA Ames from June-August. Work on exciting challenges in space science and exploration with planetary scientists in teams of 4. Looking for PhDs, Post Docs or those with Industry experience.
Link:
frontierdevelopmentlab.org
Research Intern on AI, Medical Imaging, or Computer Vision
UII America, Inc.
UII America, Inc. is building a world-class research and development team in Cambridge, MA. We have immediate openings for multiple intern positions in the following areas: Medical Imaging\Computer Vision\Software Engineering. The successful candidate will approach technical challenges enthusiastically and exhibit a strong desire to learn and apply new technologies to accomplish the assigned tasks.
Main Responsibilities
Work with senior experts in the area of Medical Imaging or Computer Vision and conduct state-of-the-art research in the field. Expect to learn and experience in conducting top-tier research in a collaborative team-working environment. Strong work during the internship may result in practical product solutions or strong publications;
Be ambitious to lead the changes in future Healthcare with innovations.
Qualification Requirements
Currently pursuing a MS or PhD Degree in Computer Science, Computer Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields. Proven track record of publications in the related fields is a plus;
Demonstrated problem solving, self-motivating, and critical thinking skills.
Link:
https://usa.united-imaging.com/career/intern-medical-imaging-computer-vision-and-software-engineering/
Sr. Research Scientist, Computer Vision
UII America, Inc.
UII America is building a world-class research and development team in Cambridge, MA. We are looking for multiple levels of Computer Vision researchers who can strengthen our R&D assets in Vision and Robotics. The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks. He will show a proven ability to work on challenging CV topics and work collaboratively with a talented R&D team.
Main Responsibilities
Research and develop Computer Vision algorithms;
Extend and improve company's existing CV algorithms and libraries;
Work closely with colleagues and management to develop company assets in CV;
Conduct cutting-edge research and transfer research results into practical product solutions;
Establish strong relationship with potential customers and clinical partners;
Collaborate with other team members and contribute to a nice team-working environment;
Be ambitious to lead the changes in future Healthcare with innovations.
Qualification Requirements
PhD Degree in Computer Vision, Computer Science, Electrical Engineering, or related field;
5+ years of experience in research and development in 2D/3D Computer Vision or Robotics;
Strong knowledge in state-of-the-art computer vision and machine learning technologies;
Proven experience in conducting cutting edge research with successful outcome;
Proven track record of publications in top-tier conferences and journals in Computer Vision, Machine Learning, or related fields (e.g. CVPR, ICCV, ECCV, NIPS, etc.);
Ability to develop practical solutions to challenging problems;
Strong experience and knowledge in Deep Learning and AI-related technologies is a plus.
Link:
https://usa.united-imaging.com/career/sr-research-scientist-computer-vision/
Sr. Research Scientist, AI on Medical Imaging
UII America, Inc.
UII America is building a world-class research and development team in Cambridge, MA. We are looking for multiple levels of AI researchers who can strengthen our R&D assets in Artificial Intelligence, especially on Medical Imaging and Healthcare data. The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks. He will show a proven ability to work on challenging and practical problems of medical imaging or other types of Healthcare datasets together with a talented R&D team.
Main Responsibilities
Research and develop AI and Deep Learning algorithms;
Extend and improve company's existing DL algorithms and libraries;
Work closely with colleagues and management to develop company assets in AI and DL;
Conduct cutting-edge research and transfer research results into practical Healthcare solutions;
Establish strong relationship with potential customers and clinical partners;
Collaborate with other team members and contribute to a nice team-working environment;
Be ambitious to lead the changes in future Healthcare with innovations;
Qualification Requirements
PhD Degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field;
5+ years of experience in research and development in Machine Learning and Deep Learning;
Strong knowledge in state-of-the-art AI and DL technologies;
Proven experience in conducting cutting edge research with successful outcome;
Proven track record of publications in top-tier conferences and journals in Machine Learning, AI, Medical Imaging, or related fields (e.g. NIPS, ICML, MICCAI, etc.);
Ability to develop practical solutions to challenging problems;
Experience and knowledge in Healthcare domain is a plus.
Link:
https://usa.united-imaging.com/career/sr-research-scientist-ai-on-medical-imaging/
AI for pharma scientist
InvivoAI
As an applied research scientist at InVivo AI, you'll join a growing team of researchers working at the forefront of machine learning for drug development. Currently a member of Techstars' inaugural AI cohort, we're an early-stage company located in the heart of Montreal's booming AI ecosystem.
Working with the close support of some of Canada's top investors and research institutions, InVivo AI provides the opportunity to apply your technical skills and creativity to truly meaningful problems: the discovery and optimization of small molecule compounds that have the potential to impact the lives of patients.
We're looking for problem-solvers who believe deeply in the impact AI can have in drug development, who can thrive in a collaborative and close-knit environment, and who have the ambition, drive, and persistence to help transform an early-stage company into a global leader.
Link:
invivoai.com
Postdoctoral Fellowship
Epfl
The Laboratory for Information and Inference Systems (LIONS) at EPFL is looking for postdoctoral fellows with a strong theory background in machine learning, discrete optimization, information theory, statistics, compressive sensing, or other related areas. Strong coding skills is a big plus.
There are two positions that revolve around the following topics
Bayesian optimization, bandits, and reinforcement learning, and robust machine learning
We seek to develop online algorithms for Bayesian optimization, as well as related problems such as multi-armed bandits, level-set estimation, reinforcement learning, and robust machine learning. The algorithms will be characterized theoretically, and also tested in real-world applications including automated hyperparameter optimization with neural networks, personalized education, and GAN models.
Link:
https://lions.epfl.ch
Deep Learning Intern (Summer 2019)
TruU Inc.
TruU is a VC backed cyber security company that is transforming the way we identify users in order to provide digital and physical access as a frictionless experience. Our first customer is a well-known Fortune 500 Bay Area technology company.
If you are a Masters or PhD student who wants to acquire real life experience with deep learning application to behavioral identification, this internship will help you get practical experience with model creation and operationalization. You will help us design and train machine learning models, evaluate the performance of these models in operationalized state, and adapt the models to meet the needs of a functioning real time system. This is a great opportunity for a researcher to apply novel academic techniques to real life situations.
Skills and Experience
* A graduate student in mathematics, computer science, or a related field.
* Strong quantitative background, including an advanced degree in mathematics, physical or computational sciences or comparable.
* Strong communication skills for describing complex ideas clearly.
* Experience with GANs, differential privacy, topological data analysis desirable.
* Team player with demonstrated communication skills.
We are a startup environment that is focused on empowering the team to architect and implement elegant solutions to the interesting and challenging problems before us, in an enjoyable environment that fosters our own professional and personal growth. Come join us in defining the future of identity.
Link:
http://www.truu.ai
Senior Data Scientist
TruU Inc.
TruU is a VC backed cyber security company that is transforming the way we identify users in order to provide digital and physical access as a frictionless experience. Our first customer is a well-known Fortune 500 Bay Area technology company.
Responsibilities
* Develop models for user identification and behavioral risk analysis using state of the art deep-learning and machine learning techniques.
* Design, implement, and validate your solutions in Python using machine learning libraries like PyTorch, TensorFlow, and scikit-learn.
* Work with our engineering team to integrate your solution into TruU’s platform.
* Keep abreast with best practices and new research in deep and machine learning.
* Present TruU algorithms and techniques at machine learning conferences and meetups.
Skills and Experience
* 5+ years of experience developing novel machine learning models and operationalizing them.
* Strong quantitative background, including an advanced degree in mathematics, physical or computational sciences or comparable.
* Have experience tackling large research problems.
* Strong communication skills for describing complex ideas clearly.
* Ability and desire to work in a highly collaborative environment
* Desire to keep current with emerging machine learning technologies like GANs, variational autoencoders, or topological data analysis and find areas in TruU problem space where these techniques can be deployed.
Bonus Points:
* Background in cybersecurity.
* Prior experience building user identification models from big data.
We are a startup environment that is focused on empowering the team to architect and implement elegant solutions to the interesting and challenging problems before us, in an enjoyable environment that fosters our own professional and personal growth. Come join us in defining the future of identity.
Link:
http://www.truu.ai
AI/ ML/ CV/ NLP - Manager/ Scientist/ Engineer/ Intern
Verisk Analytics
Are you a faculty/ student/ researcher? Would you like to work in an AI Lab with impact across 30 business units in more than 30 countries? Do publishable research? Collaborate with other top faculty/ researchers? Create deployable products? Work with large, market-wide data? Do want to work in the US/ UK/ Europe/ India?
Come talk to us. Drop me a line here or at +1.551.227.5910/ maneesh.singh@verisk.com
Verisk Analytics is a large B2B data analytics company. We fly planes & drones, we collect news & social media data, weather data, financial transactions, and much more! We work with market wide data which includes images, videos, text and audio. We create country-wide models, for example, for agriculture, environmental phenomena and for epidemics/ pandemics etc.
Come be a part of us as an academic partner, or a research/ engineering manager, scientist, engineer, a postdoc, an intern or just for an open collaboration on a blue sky fundamental / applied research problem.
Link:
https://www.linkedin.com/in/maneesh-singh-3523ab9
Data Scientist Manager, Machine Learning, Healthcare
IQVIA
We are looking for a creative, innovative, intellectually curious and entrepreneurial Data Scientist Manager with experience in developing Machine Learning software to join our Plymouth Meeting (PA) team.
The primary focus of the role is to develop Machine Learning solutions on high-scale, high-complexity rich medical data to predict answers to healthcare challenges. Along with previous management experience, this role will suit someone keen to be hands-on, building data engineering and machine learning tools and products at the cutting-edge of life sciences.
The role can involve presenting technical concepts to lay audiences, writing analysis plans for projects, contributing to proposals / grant applications, and pitching ideas effectively and persuasively to clients / internal stakeholders, etc.
This is an exciting opportunity to work in one of the world's leading human data science teams working with real world insights to help our clients answer specific questions globally, make more informed decisions and deliver results.
Our ideal candidate will have:
Postgraduate degree or higher involving machine learning or computer science.
Experience of statistical / machine learning projects in academia or commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and report / manuscript writing.
Experience developing scalable solutions and pipelines to handle large and complex data.
Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), support vector machines, deep learning methods, etc. Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling.
Strong programming skills in Python. Experience in pySpark is highly beneficial.
Solid understanding of best coding practices and version control software such as Git,
Link:
https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Plymouth-Meeting-PA/Data-Scientist-Manager_R1011662
Manager, Machine Learning, Healthcare
IQVIA
Our Predictive Analytics team within the Real World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the center of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response, disease progression predictions, and clinical decision-support tools.
We are looking for a creative, innovative, intellectually curious and entrepreneurial Predictive Analytics Manager to join our team.
This is an exciting opportunity to work in one of the world's leading RWE teams working with Real World patient data to help our clients answer specific questions globally, make more informed decisions and deliver results.
The Team:
You will join this high profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team, comprising client-facing consultants, data scientists and software engineers, work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information from sources such as prescriptions, claims and electronic health records. The data encompasses IQVIA’s access to over 530 million anonymized patients as well as bespoke, custom partnerships with healthcare providers and payers.
The Role:
This is an exciting role for a Predictive Analytics Manager who is keen to help shape and grow a high profile and highly motivated predictive analytics team at the cutting-edge of life science.
Link:
https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Plymouth-Meeting-PA/Manager--Predictive-Analytics_R1011681-1
Consultant, Machine Learning, Healthcare
IQVIA
Our Predictive Analytics team within the Real World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the center of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response, disease progression predictions, and clinical decision-support tools.
We are looking for a creative, innovative, intellectually curious and entrepreneurial Predictive Analytics Consultant to join our team.
This is an exciting opportunity to work in one of the world's leading RWE teams working with Real World patient data to help our clients answer specific questions globally, make more informed decisions and deliver results.
The Team:
You will join this high profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team, comprising client-facing consultants, data scientists and software engineers, work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information from sources such as prescriptions, claims and electronic health records. The data encompasses IQVIA’s access to over 530 million anonymized patients as well as bespoke, custom partnerships with healthcare providers and payers.
The Role:
This is an exciting role for a Predictive Analytics Consultant who is keen to help shape and grow a high profile and highly motivated predictive analytics team at the cutting-edge of life science.
Link:
https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Plymouth-Meeting-PA/Consultant--Predictive-Analytics_R1004626-1
Research Scientist and Intern, Conversational AI
Uber AI
Uber AI is looking for research scientists to create the next generation of Conversational AI algorithms to improve the lives of millions of people worldwide. You will be conducting research in speech and language processing with focus on multi-modal conversational understanding systems, more specifically, building and improving the state-of-the-art in deep learning based dialogue models for core tasks such as semantic parsing, dialogue modeling, and language generation; collaborating with other AI teams in Uber, and working to deliver cutting-edge AI research to product teams across Uber.
What You’ll Do
* Develop working solutions to difficult practical problems working with the product teams and other research teams.
* Deliver state-of-the-art AI solution to a product team and transfer the knowledge and ability necessary to maintain the solution.
* Communicate and work closely with connected teams
* Be able to acquire and process the necessary data from Uber’s data stores
What You’ll Need
* Excellent technical skills including:
- PhD level degree in a highly technical quantitative field from Computer Science, Electrical Engineering, or a similar field.
- Proven track record of innovation and demonstrated ability in terms of publications to make deep learning models work in practice for speech and language processing, preferably in dialogue systems.
- Experience with experimental research, evaluation, data collection, and analysis with scientific thinking.
* Strong programming experience:
- Competency in one key language, preferably Python
- Experience with deep learning frameworks (TF, PyTorch, etc.)
* Communication
- You must be able to communicate with other AI researchers and Uber product teams. This will require the ability to clearly explain how complex models work and what their benefits / drawbacks are.
Link:
https://www.uber.com/careers/list/37332/
Applied Scientist
Microsoft
The Bing Answers team within Microsoft AI & Research Division is looking for extremely talented Machine Learning and Natural Language Processing scientists to help build the next generation of answers for Bing and Cortana, covering QnA, Weather, Finance, Sports, Dictionary, Politics, Utility and many other scenarios:
- https://www.bing.com/search?q=who+is+the+5th+president&mkt=en-us
- https://www.bing.com/search?q=where+is+crystal+cruise+located&mkt=en-us
- https://www.bing.com/search?q=what+type+of+drugs+treat+the+pain+from+kidney+stone&mkt=en-us
- https://www.bing.com/search?q=who+sacked+russell+wilson+most&mkt=en-us
- https://www.bing.com/search?q=did+tongan+win+olympic+medal&mkt=en-us
- https://www.bing.com/search?q=how+did+microsoft+stock+perform+in+last+5+years&mkt=en-us
- https://www.bing.com/search?q=is+it+going+to+snow+tomorrow&mkt=en-us
In this position you will collaborate with senior technical leaders and researchers on design and implementation of major features to understand the user’s intents and generate high quality answers
We are looking for someone that:
- Strong at both algorithm and engineering
- Passionate about applying state-of-the-art machine learning and natural language processing technology to Bing product and generate user impact
- Passionate to solve open problems thru solid experiments and huge data mining
- Willing to ship features end-end with high quality
- Good team worker with good communication ability
To apply, send your resume directly to me at liyi@microsoft.com
ML Privacy Researcher
Apple
ML Privacy is looking for an exceptional researcher with strong background in privacy preserving technologies like differential privacy, secure multiparty computation, and various cryptographic techniques in machine learning. You will develop and publish sophisticated algorithms that will take advantage of Apple's ecosystem to improve user experience while upholding our strong dedication to user privacy. In this unique and highly visible role, you will be at the center of Core Machine Learning and privacy technologies efforts. You are expected to generate and implement novel ideas that combine on-device learning with server side learning under data privacy constraints. Furthermore, you are expected to contribute towards the ever growing machine learning efforts at Apple, such as unsupervised feature learning, deep learning, scalability and speed-up of learning algorithms, to name a few. You will be a part of the group that is responsible for shipping components, which leverage machine intelligence to improve the user experience.
The position requires a highly motivated individual with a knack of thinking creatively. This is the job unlike any other you’ve had. You’ll be challenged. You’ll be inspired. And you’ll be proud.
See our latest publication here https://arxiv.org/pdf/1812.00984.pdf
Link:
https://jobs.apple.com/en-us/details/114234554/machine-learning-privacy-researcher-core-ml?team=SFTWR
Endowed Chair Position in Business Analytics
University of Notre Dame
Position and Qualifications:
The Information Technology, Analytics, and Operations (ITAO) Department of the Mendoza College of Business invites applications from qualified candidates for the following faculty position to begin in Fall 2019:
Endowed Chair Position in Business Analytics
This position is open to scholars with research and teaching interests in Business Analytics and allied areas. Preference will be given to individuals whose research complements the interests of our existing faculty in the areas of Information Systems, Operations Management, and Analytics. Rank is at the tenured full professor level with an endowed professorship. The successful candidate will be an exceptional and internationally-renowned scholar, with a demonstrated record of excellence in research, teaching, and service, along with clear indications of continued research success. We are especially interested in individuals who value collegiality and whose research would complement the interests of our existing faculty.
Applications:
Applications for the Endowed Chair Position in Business Analytics should include: 1) a cover letter indicating the candidate’s research and teaching interests; and 2) a curriculum vitae.
Applications and queries will be held in confidence until the applicant approves further steps.
Materials should be submitted through Interfolio at the following address: https://apply.interfolio.com/56775
Applications will continue to be accepted until the positions are filled. For full consideration, please ensure that all materials are submitted by January 20, 2019.
For further information, please contact the chair of the search committee:
Professor Sarv Devaraj
Fred V. Duda Professor of Business
Sdevaraj@nd.edu
Link:
Mendoza.nd.edu
AI Resident
Facebook
The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with machine learning research while working in Facebook AI groups.
The program will pair you with an AI Researcher and Engineer who will both guide your project. As a team, you will pick a research problem of mutual interest and then devise new deep learning techniques to solve it. We also encourage collaborations beyond the assigned mentors. The research will be communicated to the academic community by submitting papers to top academic venues (for example, NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.), as well as open-source code releases.
The AI Residency experience is designed to prepare you for graduate programs in machine learning or to kickstart a career in the field. This is a full-time program that cannot be undertaken in conjunction with university study or a full-time job.
We encourage applications from people who have a strong technical background and are passionate about AI research. Prior experience in machine learning is certainly a strength, but we seek people from a diverse range of backgrounds, including areas ostensibly unrelated to machine learning such as (but not limited to) math, physics, finance, economics, linguistics, computational social science, and bioinformatics.
Application will close on Monday, January 28, 2019 at 5pm Pacific Time.
Link:
https://research.fb.com/programs/facebook-ai-residency-program/
Data Scientist
Aquantix
Looking for motivated professionals to work in data analysis of companies water impact. Aquantix is a Montreal based startup and our goal is to help with clean water preservation though big data analysis and the study of the waterfootprint of companies from all industries.
Link:
Aquantix.ca
Sr Data Scientist: challenging real-world academic research problems
Swiss Data Science Center (SDSC)
Applying state of the art Machine Learning and collaborating with academic researchers and/or industrials to tackle challenging research questions in biology, athmospheric science, physics, physical and chemical engineering, smart manufacturing, computational social science, economics, etc. We are looking for candidates with a PhD in ML or related field and preferably post doc experience. See the link for more details
Link:
https://recruiting.epfl.ch/Vacancies/728/Description/2
Applied Researcher
Expedia Group
We are looking for top-notch applied researchers and scientists interested in breaking new grounds to solve some of the most complex computational problems in the marketing domain.
The focus of your job will be in developing state of the art machine learning algorithms to power various aspects of highly complex global marketing campaigns. We spend hundreds of millions of dollars participating in highly dynamic and competitive auctions in travel Metasearch sites (TripAdvisor, Kayak, Trivago), Paid Search (Google, Bing, Yahoo) as well as in social media (Facebook). These marketing channels would benefit from solving a range of fundamental problems with varying levels of complexity, e.g., from inference problems that arise due to sparse data to solving complex optimization problems impacted by dynamic market and user behavior. We have rich, massive, and untapped data sets containing observation points that can be collected only by spending huge amounts of money. Your passion for the craft of statistics, optimization, and machine learning will help unlock tangible growth for our business by exploiting these data sets.
The Expedia Applied Research team is at NeurIPS this week. Please email Angelo Restificar (arestificar@expedia.com) or Ebrahim Nasrabadi (enasrabadi58@expedia.com) if you would like to meet the team, learn about the opportunities at Expedia, and join us to solve the fundamental problems in travel industry.
Link:
https://www.linkedin.com/jobs/view/977965697/
Senior Computer Vision Scientist
Netgear Arlo
General video understanding for smart home cameras. Arlo is leading the market of wireless security cameras. You will get the rare opportunity to work on literally millions of videos.
We do object, action, face recognition and much more. We are also looking for experts in unsupervised learning. Send me a mail.
Natural Language Processing(NLP) Scientist
JD.com
JD AI Research is looking for top-notch research scientists to join its Silicon Valley R&D Center. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension.
Responsibilities
Define ambitious, relevant AI research problems and criteria for evaluating success.
Build state-of-the-art solutions by designing algorithms and carrying out experiments.
Work with engineering teams, when appropriate, to get solutions into use.
Publish in top-notch conferences
Qualifications
Ph.D. or master degree in computer science, NLP related field.
Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)
Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.
Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field;
Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must.
About JD AI Research (JDAIR)
JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.
Machine Learning Scientist
JD.com
JD AI Research is looking for top-notch research scientists to join its Silicon Valley R&D Center. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in machine learning, including knowledge graph, deep learning, reinforcement learning, representation learning etc.
Responsibilities
Define ambitious, relevant AI research problems and criteria for evaluating success.
Build state-of-the-art solutions by designing algorithms and carrying out experiments.
Work with engineering teams, when appropriate, to get solutions into use.
Publish in top-notch conferences
Qualifications
Ph.D. or master degree in computer science, machine learning related field.
Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)
Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.
Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field;
Publication record in top conferences (ICML, ICLR, NIPS, KDD, IJCAI, AAAI etc ) is a must.
About JD AI Research (JDAIR)
JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.
Computer Vision Scientist
JD.com
JD AI Research is looking for top-notch research scientists to join its Silicon Valley R&D Center. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in computer vision, including video analysis, medical imaging, activity detection and recognition, and so on.
Responsibilities
Define ambitious, relevant AI research problems and criteria for evaluating success.
Build state-of-the-art solutions by designing algorithms and carrying out experiments.
Work with engineering teams, when appropriate, to get solutions into use.
Publish in top-notch conferences
Qualifications
Ph.D. in computer science, computer vision related field.
Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)
Publication record in top conferences (CVPR, ICCV, ECCV, NIPS etc ) is a must.
Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, etc.) and related tools in each special field;
Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.
About JD AI Research (JDAIR)
JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.
Speech Research Scientist/Engineer
JD.com
JD.com AI Research Division is looking for top-notch speech scientists and engineers to join its Silicon Valley R&D Center. It's an exciting opportunity to join our early stage team to work on a wide variety of speech-related research and development activities, including acoustic modeling, language modeling, speech engine development and optimization, and research tools development.
Qualifications
Ph.D. or master degree in computer science, electrical engineering, math, statistics, or related field.
Ability to communicate/collaborate with other researchers/engineers including our team members in China.
Experience building and tuning large vocabulary speech recognition systems. Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.
Experience working with standard speech recognition toolkits (such as Kaldi, Attila, HTK, Sphinx, SRILM, OpenFST, etc.) and deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.).
Publication record in top speech conferences/journals is a plus.
About JD AI Research (JDAIR)
JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.
postdoc in Toronto (competitive salary
Toronto Rehabilitation Institute - University Health Network
computer vision in healthcare applications (track & analyse body and facial movements for clinical assessment)
Toronto Rehabilitation Institute - University Health Network (research hospital affiliated with the University of Toronto)
Link:
http://www.cs.toronto.edu/~taati/
Senior Data Scientist - QuantumBlack
QuantumBlack
QuantumBlack helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies’ prototype, develop, and deploy bespoke data science and data visualization solutions to make better decisions.
QUALIFICATIONS
• Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field. PhD level is preferred but not a requirement.
• R&D experience in Machine Learning, Statistics, or Reinforcement Learning
• Programming experience in languages such as Python or R
• Experience with Deep Learning frameworks such as: Tensorflow or PyTorch
• Demonstrated leadership in a professional environment e.g. managed project teams and direct reports
• Professional experience in implementing statistical modelling and machine learning methods
• Experience in applying data science methods to commercial problems
• Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
WHO YOU ARE
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experiment
Link:
https://www.quantumblack.com/careers
Data Scientist - QuantumBlack
QuantumBlack
QuantumBlack helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies’ prototype, develop, and deploy bespoke data science and data visualization solutions to make better decisions.
QUALIFICATIONS
• Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field. PhD level is preferred but not a requirement.
• R&D experience in Machine Learning, Statistics, or Reinforcement Learning
• Programming experience in languages such as Python or R
• Experience with Deep Learning frameworks such as: Tensorflow or PyTorch
• Experience in implementing statistical modelling and machine learning methods
• Experience in applying data science methods to commercial problems
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
WHO YOU ARE
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experiment
Link:
https://www.quantumblack.com/careers
Machine Learning Engineer - QuantumBlack
QuantumBlack
WHAT YOU'LL DO
As a Machine Learning Engineer, you are a keen problem solver who uses technology to solve complex analytical problems. You have a deep interest in Big Data technologies, Analytics and Data Science.
WHO YOU'LL WORK WITH
You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers.
QUALIFICATIONS
-MSc or degree in Computer Science or a relevant subject
-Strong coding skills in Python, experience with pandas, scikit-learn, matplotlib a huge plus.
-Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc.
-Experience in object-orientated programming such as C, C++, Java OR Scala
-Deep understanding of good software engineering principles
-Knowledge of technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
-Good knowledge of testing frameworks and libraries
-Experience with a range of database management languages e.g. SQL, PostgreSQL
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others.
Link:
https://www.quantumblack.com/careers
Data Engineer - QuantumBlack
QuantumBlack
QUALIFICATIONS
Meaningful experience with technologies such as: Python, Scala, SQL, Java
The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Meaningful experience in multiple database technologies such as:
Distributed Processing (Spark, Hadoop, EMR)
Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
MPP (AWS Redshift, Teradata)
NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
A confirmed ability in clearly communicating complex solutions
An understanding of Information Security principles to ensure compliant handling and management of client data
Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks
Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage)
Extraordinary attention to detail
WHO YOU'LL WORK WITH
Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
Who you are
A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with coll
Link:
https://www.quantumblack.com/careers
Senior Data Scientist
Bose
Would you like to use your Data Science skills to solve real world problems and improve people’s lives? The Wellness Division at Bose produces innovative products and experiences that improve sleep, physical health, mental wellbeing and hearing. We are looking for talented Senior Data Scientists to help us develop the scientific insights and state of the art algorithms that will deliver positive change to our customers’ wellbeing. This is a unique opportunity to shape the experiences and technologies that millions of people will use to improve their quality of life.
Why Bose?
Bose has a strong culture that is passionate about making things better, in terms of the products we build but also the way we work together, focusing on respect, integrity and excellence. We all work hard to develop innovative technologies that provide customers with life changing experiences. Our goal is helping people reach their fullest human potential, so they can feel more, do more, and be more.
Job Description
You will join Bose's new and growing Wellness Data Science group based out of our new Boston Landing location. The mission of this group is to leverage world-class data science, machine learning, and cloud-connected technologies to envision and develop algorithms, and deploy them into compelling, engaging, and personalized user experiences within Wellness products.
You will be responsible for helping drive applied research by conceiving, building and benchmarking machine learning algorithms for Wellness applications.
Specific tasks may include research scoping, algorithm development, experimental study design and analysis, data mining, data visualization and gaining deep competency in cutting edge ML technologies.
You will collaborate closely with Wellness researchers to understand concepts and the underlying science and with Machine Learning Engineers to transition the results of research through concept prototypes into production-quality deliverables.
As part of the tea
Link:
https://boseallaboutme.wd1.myworkdayjobs.com/Bose_Careers/job/US-MA---Boston-Landing/Senior-Data-Scientist_R11435
Data Analyst, Health, Google AI
Google
Google AI aims to use machine learning (ML) and other tools to improve healthcare. We work closely with partners to research and explore solutions that improve the availability and accuracy of medical services.
As a Data Analyst you'll analyze rich structured and unstructured healthcare datasets. You'll serve as an analytics expert, ensure data quality, build ML models, and deliver meaningful
insights through data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management.
Our team combines experts in medicine, machine learning, engineering, statistics and more to support clinical breakthroughs using a variety of techniques. Our work spans from many projects, including medical image diagnosis, medical event predictions, automatic speech recognition and more. We’ve partnered with worldclass medical researchers, bioinformaticians, and healthcare partners to explore how machine learning combined with clinical expertise could improve patient outcomes. We regularly publish in leading industry journals.
Responsibilities:
● Work with large, complex datasets to solve difficult, nonroutine analysis problems.
● Design automation tools for data cleaning, validation and verification.
● Summarize data to draw insights or answer business questions.
● Apply statistical methods to measure data quality and detect data anomaly.
Minimum qualifications:
● Master's degree in a quantitative discipline (e.g. statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.
● 3 years of relevant work experience (i.e. as a Statistician/Bioinformatician/Data Scientist/data Analyst/Clinical Informaticist) working on observational clinical data.
● Experience working with data sets,
● Experience with SQL, Python or similar.
Preferred qualifications:
● Experience with clinical data warehouses and/or analysis of electronic health records.
Deep Learning Research Scientist/Engineer/Intern
Institute for Infocomm Research, A*STAR
Deep Learning 2.0 Program, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)
We are seeking exceptional researchers to expand our dynamic and multi-disciplinary AI team. Our research program spans next generation AI algorithms, hardware and enterprise applications. Our team members have PhDs in deep learning, computer vision, NLP, speech recognition, and data analytics from Stanford, CMU, Brown, MIT, Harvard, NUS, NTU, PKU etc. We are building a nimble, team-oriented, startup-like environment with the backing and resources of A*STAR, Singapore’s national-level full-spectrum R&D organisation.
The Deep Learning 2.0 program is a multi-year A*STAR AI program, focused on capturing the next wave of deep learning. The program is focused on
(a) 10x open problems in deep learning algorithmic research: thrusts include learning with 10x fewer labeled samples, compressing networks by 100x, incorporating knowledge graphs into deep learning, online deep learning, and white-box deep learning.
(b) Next generation hardware for deep learning: we are looking beyond GPUs and TPUs, and reimagining the entire hardware stack for deep learning from algorithms all the way down to silicon
(c) New untapped enterprise applications for deep learning: ranging from personalized medicine, finance, health-care, medical imaging, IoT and advanced semiconductor manufacturing.
(d) Deep learning meets homomorphic encryption: we are looking how to perform deep learning inference on encrypted data, from theory to practice
Openings include full time, intern (3-6 months) and student positions to work on advanced AI research topics.
Ph.D. students can apply for all expenses paid ARAP scholarships (12-24 months) for research on topics of mutual interest to home Ph.D. advisor and A*STAR PI
Contact:
Vijay Chandrasekhar (vijay@i2r.a-star.edu.sg)
Pavitra Krishnaswamy (pavitrak@i2r.a-star.edu.sg)
Research Intern
Apple
AI Research team is seeking highly motivated and qualified individual to join our internship program. Our team pursues research and development in the area of machine learning with particular focus on deep learning, computer vision, speech, NLP, optimization, and reinforcement learning.
Head of AI
NISI - Non-Invasive Surgical Innovations
Drive the company’s approach to delivering an AI platform for proprietary medical devices that assists surgeons to visualize, navigate and execute procedures with added assurance;
• Collaborate with a world-leading institution on advancing state-of-the-art research for medical computer vision;
• Work directly with the CTO, CEO, Director of Engineering and collaborate closely with other team leads within the business to ensure harmony between priorities and delivery;
• Build a strong team and lead the development/application of deep learning algorithms to effect imitation learning and semantic segmentation using multiple types of training datasets;
• Design, implement and evaluate advanced algorithms for visual servoing, real-time motion
coordination and path planning;
• Develop verification and validation protocols for software in accordance with regulatory
requirements; and
• Participate in product development reviews and contribute to decisions that result in safe,
robust and cost-effective intelligent functions for robotic medical devices.
Candidates are expected to fulfill most of the following requirements:
• A minimum of Master’s degree in Computer Science, Software Engineering or equivalent, PhD or other research-based degree with good academic publication track record is an advantage;
• Proven experience in the fields of AI and real-time software, leading specialized teams of data
scientists and/or software engineers in designing, implementing, testing and delivering
relevant commercial products;
• In-depth understanding of the ML landscape, including experience delivering capabilities that
leverage deep learning and/or imitation learning technologies;
• Proficiency with programming in Python/C++/Linux environments;
• Understanding of IEC60601, IEC62304, security and compliance constraints is a plus;
• Demonstrable thought leadership in product development and research projects, covering
recent advances in AI for vision and robotic systems;
Link:
http://nisi.hk/join-nisi/
Senior AI Software Engineer
NISI - Non-invasive Surgical Innovations
• Develop novel machine learning approaches for robotic control with multimodal inputs, based on deep learning architectures;
• Implementation of video processing and computer vision algorithms;
• Work closely with video hardware engineer to develop computer vision system; and
• Perform any other duties as assigned by CTO / Director of Engineering or his designates.
Candidates are expected to fulfill most of the following requirements:
• Master or PhD degree in Electronic / Computer Engineering / Physics / Other Engineering or equivalent and 3 plus years or relevant work experience;
• Recent graduates from any STEM field with relevant experience will also be considered;
• Solid background in image/video processing, computer vision and ANN;
• Experience with one or more of deep learning frameworks / techniques is preferred;
• Familiar with GPU programming, C/C++, CUDA, OpenCV, OpenGL, etc;
• Good presentation skills and be an effective communicator;
• Ability to work independently; and
• Good command of English and Chinese (Cantonese & Mandarin).
Link:
http://nisi.hk/join-nisi/
Machine learning engineer
Apple
Job Summary
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Speech team at Apple. The Siri team is looking for exceptionally skilled and creative Engineers/Scientists eager to get involved in hands-on work improving the Siri experience by applying deep machine learning.
Description
You will be a part of a team that's responsible for a wide variety of language technologies related research and development activities. Your focus will be on fine tuning deep learning models and improving the language specific models. The role will be part of the model automation team to deal with large quantities of data, apply the state-of-the-art methods in deep learning to tackle real world problems and create the production quality models, at scale. You should therefore be passionate about creating phenomenal products that are used by millions of people. You’re expected to be a team player who thrives in a fast paced environment with rapidly changing priorities.
Education
M.S. or PhD in Computer Science or related field, fresh graduates are welcome
§ Good knowledge in machine learning technologies or language technologies such as NLP, machine translation or ASR
§ Good coding skills in the one of the following languages , e.g. Python, bash scripting, java, C/C++ etc.
§ Experience in deep machine learning and related toolkits, e.g. PyTorch, TensorFlow etc. a big plus
§ Good problem solving skill
§ fast learner and strong motivation on growing and learning new technologies
Link:
https://jobs.apple.com/en-us/details/200012185/siri-machine-learning-engineer
Postdocs&PhDs in Berlin, Deep Learning in Physical Sciences
FU Berlin
Method development at the interface between machine learning and physics, especially NN architectures, generative ML and RL for physics problems (incorporation and exploitation of known constraints, invariants or priors)
Link:
research.franknoe.de
Machine Learning Scientist
Integrate.ai
At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics, and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.
What you will be doing:
Researching, developing, and validating generalizable models to power the platform capabilities and automate client-facing business processes.
Researching and developing innovative methods to better facilitate a wide-variety of machine learning tasks including feature engineering and selection, hyperparameter tuning, and optimization.
Researching and developing unsupervised machine learning methods to discover behavioural patterns across multiple datasets using representation learning, transfer learning, deep nets, etc.
Link:
https://integrateai.applytojob.com/apply/2IzkV1KqVz/Machine-Learning-Scientist?source=iai-website
Postdoctoral Research Opportunity at USC
USC
We currently have openings for postdoctoral research positions at the University of Southern California. Focus areas include (but are not limited to) non-convex large scale optimization and deep learning.
Link:
http://www-bcf.usc.edu/~razaviya/Research.html
Research Scientist (Deep Learning & Statistics) at AWS
Amazon AWS
I’m looking for scientists and engineers to work on Deep Learning modeling. This includes Computer Vision, NLP, Reinforcement Learning and Statistical Testing.
Your responsibility would be to help us power the next generation of AWS products, invent new algorithms, write papers and work with a talented team of engineers.
Let’s meet at the Amazon Booth.
Applied Scientist (ML/DL/PGM)
Amazon
Do you want to be part of the team that is reshaping the Amazon marketplace? Do you want to help Sellers get access to the Amazon global customer base? Are you passionate about applying your background in Machine Learning, Deep Learning and Probabilistic Graphs? If you answered yes to all these questions, Amazon Global Fulfillment Services (AGFS) might be the opportunity for you!
AGFS vision is to provide seamless fulfillment services for 3rd party Sellers on behalf of our customers. We build software to reduce fulfillment and product listing defects, opportunity guidance, and inventory inspection. Reply to this post for more info or look for Mingwei at the Amazon booth during coffee chat times on Wed and Thurs!
Research Intern
Amazon Web Swevices
Come and work with us on new algorithms, hardware, at a scale that is challenging for systems and math, and invent the next generation of products.
Computer Vision. Graphs. NLP. Statistics. Deep Learning Engines. Hardware Optimization. Compilers. Algorithms.
PhD Student
Bosch Center for AI
Three full-time paid and fully-academic PhD student positions on Bayesian deep learning, meta-learning, and hybrid modeling are available at BCAI Germany. Please DM to Melih Kandemir via Whova or visit the Bosch booth if interested. You can also apply via the below links:
https://jobs.smartrecruiters.com/BoschGroup/743999679929728-phd-meta-learning-from-few-tasks-with-hybrid-models
https://jobs.smartrecruiters.com/BoschGroup/743999679930159-phd-hybrid-modeling-with-deep-generative-networks
https://jobs.smartrecruiters.com/BoschGroup/743999679919907-phd-interfacing-gaussian-processes-with-neural-networks
ML Engineer – Time-series and biomedical signals
Evidation.com
Evidation Health is a new kind of health and measurement company that provides the world’s most innovative biopharma and health care companies with AI technology to understand how behavior and health interact in everyday life.
Over the years, Evidation Health has built the largest, most diverse virtual pool of research participants through its proprietary and popular app, Achievement. With more than 2 million individuals, this cohort is unparalleled in clinical research today.
We use machine learning on individual-permissioned data consisting of high-frequency physiological signals from smartphones, remote sensors, and other connected devices to derive measures of health status and disease progression validated against ground truth robustly collected from research participants in everyday life. We look at a wide array of problems, ranging from quantifying progression of cognitive decline from longitudinal voice recordings to developing screening algorithm for chronic diseases based on patterns of mobility and sleep from commercial wearable devices. See more at evidation.com/research.
QUALIFICATIONS
- PhD in Computer Science, Statistics, or related fields
- Deep theoretical understanding of representation learning, deep learning, with applications to time series and signal processing
- Experience with deep learning frameworks (PyTorch, Tensorflow, MXnet)
- Excellent coding skills in python (pandas) or R
- Excellent knowledge of statistics, especially methods for longitudinal designs.
- Care for the patient. And constant awareness that behind every data point there’s an individual.
- Bias to action and proactive attitude. In healthcare things rarely happen by themselves.
- Kindness. You’ll be part of a diverse team of data scientist composed of neuroscientists, biostatisticians, epidemiologists, behavioral economists, and computer scientists.
We’ll be presenting our work at the Machine Learning for Health (ML4H) workshop on Saturday 8.30am-5.30pm room 517D.
PhD Student
Yale University, New Haven, CT, USA
Applications open for PhD students in Data Science at Yale starting in 2019. I am personally looking for students interested in studying and correcting bias in ml/ai social learning systems. Please contact for more info!
Link:
https://twitter.com/profelisacelis
ML Research Intern - Time series and biomedical signals
Evidation.com
Evidation Health is a new kind of health and measurement company that provides the world’s most innovative biopharma and health care companies with AI technology to understand how behavior and health interact in everyday life.
Over the years, Evidation Health has built the largest, most diverse virtual pool of research participants through its proprietary and popular app, Achievement. With more than 2 million individuals, this cohort is unparalleled in clinical research today.
We use machine learning on individual-permissioned data consisting of high-frequency physiological signals from smartphones, remote sensors, and other connected devices to derive measures of health status and disease progression validated against ground truth robustly collected from research participants in everyday life. We look at a wide array of problems, ranging from quantifying progression of cognitive decline from longitudinal voice recordings to developing screening algorithm for chronic diseases based on patterns of mobility and sleep from commercial wearable devices. See more at evidation.com/research.
QUALIFICATIONS
- PhD student in Computer Science, Statistics, or related fields
- Good understanding of representation learning, deep learning, with applications to time series and signal processing
- Experience with deep learning frameworks (PyTorch, Tensorflow, MXnet)
- Excellent coding skills in python (pandas) or R
- Excellent knowledge of statistics, especially methods for longitudinal designs.
- Care for the patient. And constant awareness that behind every data point there’s an individual.
- Bias to action and proactive attitude. In healthcare things rarely happen by themselves.
- Kindness. You’ll be part of a diverse team of data scientist composed of neuroscientists, biostatisticians, epidemiologists, behavioral economists, and computer scientists.
We’ll be presenting our work at the Machine Learning for Health (ML4H) workshop on Saturday 8.30am-5.30pm room 517D.
Data Scientist at Pearson AI Products and Solutions
Pearson
We are looking for Data Scientists to join Pearson’s AI Products and Solutions team. Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences. The position provides the opportunity to engage in cutting-edge research on a cross-functional team and contribute to developing products that have an impact on millions of learners around the globe.
In this role, you’ll have the opportunity to:
- Execute on research and development to implement state of the art techniques such as deep learning and reinforcement learning in educational applications.
- Develop capabilities that contribute to the field of machine learning, using complex data sources including emerging content types and technology-based student interactions.
- Work collaboratively with team members and other stakeholders to build functional prototypes leading to new products and businesses.
We are looking for a Data Scientist with:
- Experience or interest in education and learning.
- Experience or interest in machine learning, deep learning, and reinforcement learning.
- Ph.D. in a relevant field or equivalent experience.
- Experience coding in Python to bring R&D capabilities towards production. Experience with deep learning frameworks (TensorFlow, PyTorch, etc) a plus. Experience using version control and other software development tools a plus.
- A knack for creative problem solving and willingness to learn new technologies and skills.
We use AI to help students.
We value work-life balance.
Please reach out if your interested.
We have several Data Scientist and Machine Learning Engineer roles available.
Quinn
quinn.lathrop@pearson.com
Alex
alex.nickel@pearson.com
Link:
https://pearson.jobs/centennial-co/data-scientist/2D12CAE1653C4B81B606FE62F8809013/job/
Postdoctoral Associate
MIT
Applications are invited for a Postdoctoral Associate position for an MIT-Shell project. The goal of this project is to apply recent machine learning methods, such as deep learning and reinforcement learning, to improve the performance of algorithms within physical frameworks.
The appointment is initially for one-year, with the possibility of renewal. The appointment could start as early as in February 2019, but we will continue accepting applications until the position is filled.
Link:
https://people.csail.mit.edu/indyk
Data Scientist - UberEverything
Uber
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in developing and applying quantitative solutions related to Uber's uniquely challenging problems? If so, then this is the job for you.
Uber Everything Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand delivery businesses such as Uber Eats. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. To solve these problems, data scientists leverage unique data sources diverse in both geographical and temporal dimensions and in both structured (data from app sessions, trips, etc.) and unstructured (menu descriptions, food photos, support contacts, etc.) forms.
Since Uber Everything Data Scientists focus on the mathematics and engineering related to optimizing the growth and economics of Uber's logistics delivery marketplace, particular preference is given to candidates with backgrounds in AI & Machine Learning, Statistics, Operations Research, Economics, or similar.
Link:
https://www.uber.com/en-JO/careers/list/22396/
Data Scientist - UberEverything (NYC)
Uber
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in developing and applying quantitative solutions related to Uber's uniquely challenging problems? If so, then this is the job for you.
Uber Everything Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand delivery businesses such as Uber Eats. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. To solve these problems, data scientists leverage unique data sources diverse in both geographical and temporal dimensions and in both structured (data from app sessions, trips, etc.) and unstructured (menu descriptions, food photos, support contacts, etc.) forms.
Since Uber Everything Data Scientists focus on the mathematics and engineering related to optimizing the growth and economics of Uber's logistics delivery marketplace, particular preference is given to candidates with backgrounds in AI & Machine Learning, Statistics, Operations Research, Economics, or similar.
Link:
https://www.uber.com/en-JO/careers/list/22140/
2019 PhD Data Scientist Internship - UberEverything
Uber
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in applying quantitative solutions to the uniquely challenging problems related to Uber’s on-demand delivery marketplace? If so, then this is the opportunity for you.
What You’ll Do
Develop models for user behavior and marketplace dynamics
Design optimization algorithms to improve marketplace efficiency
Apply machine learning for recommendation, prediction, and forecasting
Conduct experiments to inform product decisions
What You’ll Need
Strong quantitative background
Research, data science modeling, or engineering experience
Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.
Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation
Independence, great communication, and amazing follow-through - you aggressively tackle your work and love the responsibility of being individually empowered
Bonus Points For
Background in Machine Learning, Statistics, Operations Research, Operations Management, Econometrics, or similar
Experience in software engineering
Link:
https://www.uber.com/en-JO/careers/list/42827/
2019 PhD Data Scientist Internship - UberEverything (NYC)
Uber
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in applying quantitative solutions to the uniquely challenging problems related to Uber’s on-demand delivery marketplace? If so, then this is the opportunity for you.
What You’ll Do
Develop models for user behavior and marketplace dynamics
Design optimization algorithms to improve marketplace efficiency
Apply machine learning for recommendation, prediction, and forecasting
Conduct experiments to inform product decisions
What You’ll Need
Strong quantitative background
Research, data science modeling, or engineering experience
Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.
Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation
Independence, great communication, and amazing follow-through - you aggressively tackle your work and love the responsibility of being individually empowered
Bonus Points For
Background in Machine Learning, Statistics, Operations Research, Operations Management, Econometrics, or similar
Experience in software engineering
Link:
https://www.uber.com/en-JO/careers/list/42828/
Sr Software Engineer - Audio Engineering
Apple
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Video Applications group develops leading media creation apps including Final Cut Pro X, iMovie, Motion, and Clips. The team is looking for a talented software engineer with a strong passion for audio to help design and develop audio-related features in these applications.
Key Qualifications
* 5+ years of software development experience
* Strong C++, Objective-C/Swift and Cocoa programming experience
* In-depth knowledge of Core Audio and Audio Unit API’s
* Strong understanding of real-time, multi-threaded, object-oriented programming concepts
* Well-versed in digital audio fundamentals (sampling, filtering, compression, media file formats, etc.)
* Familiarity with audio and video editing applications on both desktop and mobile
Description
This is an extraordinary opportunity to apply your skills in audio software programming to innovative media creation products that reach millions of users. You will be continually challenged to find creative solutions to challenging technical problems. The ideal candidate will feel comfortable working at many levels of the software stack including audio processing algorithms, audio engine, data model, and user interface.
In this role you will go beyond the norm and demonstrate creativity in problem solving, think dynamically, and adapt quickly to new technical environments.
We promote innovation to improve our product performance and stay deeply focused on delighting our users.
Education
Bachelor of Sciences degree in Computer Science or related field.
Link:
https://apple.co/2PfDjKG
Sr Machine Learning Technologist - Video Applications
Apple
We are seeking a Machine Learning technologist to help set technology strategy for our Video Applications Engineering team. Our team develops Apple's well-known video applications, including Final Cut Pro, iMovie, Memories part of the Photos app, and the exciting new Clips mobile app. We utilize both ML and Computer Vision technologies in our applications, and are doing so at an increasing pace.
Key Qualifications
* Strong machine learning background, with hands-on experience building multiple significant ML systems.
* 5+ years’ minimum experience using ML to tackle a variety of Computer Vision and other problems.
* Ability to discern whether a particular ML technology is viable for solving specific application problems.
* Strong programming skills and experience with significant software development projects.
* Strong experience with most of the following: C/C++, Python or similar, Matlab, GPU programming.
* OS X and/or iOS development experience a huge plus.
* Excellent written and verbal communications skills.
* Able to collaborate and build productive cross-functional relationships.
Description
We are looking for an expert ML engineer/scientist who has played a significant role in multiple ML implementations — ideally in both academia and in industry — to solve a variety of problems. You will advise and consult on multiple projects within our organization, to identify where ML can best be employed, and in areas of media utilization not limited to images and video. You should have the ability to estimate the level of ML development and training effort required for a given application.
Stay abreast of virtually all ML/CV hardware and software technologies under development and research at Apple, advise us on how to best leverage these, and suggest creative ways to augment these with our own ML/CV development. Stay up to date with the latest relevant developments in industry, and establish peer technical relationship with top ML technologists within Apple.
Link:
https://apple.co/2BQOFMX
PhD students in CV/ML
Virginia Tech
The Vision and Learning Lab at Virginia Tech is looking for highly motivated students to join our lab starting Fall 2019. Our research interest is in the general area of computer vision, computational photography, and machine learning. Major topics include image/video manipulation, deep generative models, scene understanding, visual tracking, and weakly supervised representation learning and related areas.
See our research work here.
https://filebox.ece.vt.edu/~jbhuang/publications.html
Link:
https://filebox.ece.vt.edu/~jbhuang/contact.html
Samsung Electronics (Korea)
Samsung electronics
Research area : Deep learning core algorithms, Speech/Language Recognition, Semiconductor process, Visual recognition, Image Processing, 3D Modeling and Localization, Object detection & tracking, Scene reconstruction & Pose estimation, Graphics rendering, Processor/Computer/Memory architecture, Neural Processor Compiler, High performance computing, Data analyst/Engineer, Post-quantum Cryptography etc.
Data Science and Machine Learning Engineer (AI and Robotics company)
Fellow Robots
AI and Robotics | San Francisco – Bay Area
Fellow Robots is a Silicon Valley-based tech company focused on providing complete inventory management solutions, supply chain optimization, planogram compliance, shelf intelligence and Asset tracking functionalities to Fortune 500 companies using advanced AI and Robotics.
We are seeking exceptional Data scientists, Engineers and Researchers to work with class A multidisciplinary teams from Robotics, Computer Vision to Business.
Responsibilities:
• Work with large, complex datasets coming from multiple sources to process and solve difficult analysis problems.
• Use and design automation tools for data cleaning, validation and verification.
• Summarize data to draw insights and answer business questions.
• Apply statistical methods to measure data quality and detect data anomaly.
• Work with data entry/annotation teams for datasets integrity.
• Work closely with Fortune 500 companies to understand data and insights requirements.
Requirements:
• Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field. - PhD level is preferred but not a requirement.
• R&D experience in Machine Learning, Statistics, or Reinforcement Learning
• Minimum of 2-year Python coding experience.
• Experience working with SQL.
• Solid experience with Deep Learning frameworks such as: Tensorflow, Keras or PyTorch.
• Experience in applying data science methods to commercial problems.
• Strong presentation and communication skills, to explain complex analytical concepts to people from other fields and to communicate clear business KPI’s rather than research KPI’s.
• Understanding of GPU and TPU cloud environments.
Nice to have:
• Experience with Power BI or Tableau.
• Experience with Distributed Processing (Spark, Hadoop)
• Experience working with Startups.
Link:
www.fellowrobots.com
Machine learning for health and medicine
MIT
Research scientists/Postdoctoral fellows/BS/MS with computer science background to work at The MIT Media Lab to devise novel machine learning methods and architectures that learn from pre-clinical data (biological, omics and animal models), clinical trials with drugs and vaccines, and real-world electronic medical data and images from patients. Ping here, or apply via Massachusetts Institute of Technology (MIT) jobs.
Link:
https://www.media.mit.edu/about/job-opportunities/research-scientist-health-0-0
Machine Learning Research Scientist
Huawei Canada
Located in Hong Kong, Shenzhen, Beijing, London, Paris, Montreal, Toronto and Edmonton, Noah’s Ark Lab is the flagship AI research lab of Huawei Technologies.
Our mission is to make significant contributions to both the company and society by innovating in machine learning, artificial intelligence, and related fields. Mainly driven by long term and big impact projects, research in the Lab also tries to advance the state of the art in the fields as well as to harness the products and services of the company, at each stage of the innovation process.
The Network Mind team is working on developing advanced data mining, machine learning, and artificial intelligence theory and techniques catered for emerging challenges arising from telecommunications, including network traffic/state profiling and prediction, resource allocation optimization, automated control and management, etc.
Noah's Ark Lab Montreal seeks a Machine Learning Scientist in our growing Machine Learning team.
Responsibilities:
- Conduct (academic and applied) research, to advance state-of-the-art in related fields,
- Develop and implement solutions to real world problems,
- Collaborate with a team of researchers and conduct academic and applied research,
- Publish in prestigious ML/AI conferences and journals.
Qualifications:
- Have PhD in computer science, electrical engineering, statistics, mathematics or related areas,
- Post-docs or ML-related industry experience,
- Good track record of scientific publications,
- Strong background in statistical learning,
- Experience in deep learning, reinforcement learning, Bayesian inference, learning in networks, graph learning, data mining or optimization is a plus,
- Fluency in Python, Matlab or R,
- Familiarity with TensorFlow or PyTorch,
- Ability to work independently as well as collaboratively,
- Able to present and communicate ideas clearly and fluently,
- Have strong self-motivation.
Vision engineer Montreal
Jumio
Worldwide leader in identity verification looking for vision engineers skilled in deep learning. Let’s meet at NeurIPS and I can tell you more.
andy.hess@jumio.com
AI Team Lead Montreal
Jumio.com
ML Scientist (varying levels, VISA sponsored)
MGH & BWH Center for Clinical Data Science
Machine learning is on the verge of transforming healthcare, and the MGH & BWH Center for Clinical Data Science (CCDS) is at the forefront of this revolution. We are a fast-paced start-up embedded in two of the nation’s leading research hospitals, backed by industry partners like Nvidia and GE Healthcare. We have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.
The focus of our ML team is to build models that solve critical needs in healthcare.
Classification to expedite treatment decisions, prioritize worklists, and improve diagnostic accuracy
Segmentation and localization to improve the accuracy and speed of abnormality detection
Volumetric assessment of pathologies, reducing clinician time per study thereby freeing them to focus on higher-value tasks
Time series analysis to predict outcomes based on streaming patient data
Natural language processing to extract knowledge from unstructured clinical data
Link:
https://www.ccds.io/job-openings/
INTERSHIP at MERL
Mitsubishi Electric
Mitsubishi Electric research laboratory is seeking talented PhD students for internship positions in several areas such as AI, robot Learning, control, computer vision, power systems, digital communication, signal processing and autonomous driving.
Link:
http://www.merl.com/internship/openings.php
Software Engineer - Computer Vision
Amazon
Are you interested in changing the way Amazon understands products using images?
The Amazon Catalog team builds and organizes information from billions of products. We are looking for an innovative SDE to enable customers to get insights from billions of product images using ML and CV. You will partner with scientists and engineers on use-cases ranging from product classification to facts extraction.
Qualifications:
· Bachelor's degree in in Computer Science, or in a related field
· 3+ years of software engineering
· Proficiency in one modern programming language (Java, Python, C++, …)
Link:
https://www.amazon.jobs/en/jobs/709025/software-development-engineer
Postdoc/PhD Positions in Machine Learning
IST Austria
The Distributed Algorithms and Systems Lab at IST Austria has open PhD and postdoc positions as part of the ScaleML project, which aims to develop new theory, algorithms, and systems for scalable machine learning.
The positions are full-funded, and are located in Vienna, Austria, one of the most livable cities in the world.
If interested, please contact Dan Alistarh at d.alistarh@gmail.com.
Link:
http://people.csail.mit.edu/alistarh/
Bayesian Scientist for Computational Sustainability
Cervest
- PhD (very strong MSc considered)
- Strong links with Imperial (Math/Stats) and Warwick (Stats/CS).
- Very well funded “stealth-mode” startup.
- Advised and managed by world-leading industry experts.
- Bayesian non-parametrics, sequential spatiotemporal inference and decision making under uncertainty.
- Making sense of extremely large bio-climatic and environmental data.
- Get in touch to arrange an informal chat at NeurIPS.
Link:
https://cervest.earth
Senior Research Scientist, AI Products and Service
Pearson
We are looking for a talented data scientist to join our AI group. As an R&D organization, our mission is to push the boundaries of what’s possible in education and to positively impact millions of learners around the globe. This position is within a highly agile team responsible for cutting-edge educational technology with an emphasis on ML and NLP methods around text-based formative, complex assessments across a spectrum of learners, domains and technologies.
Boulder, Colorado has been named as the happiest place in the U.S. which is no surprise given its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty, ultra-fresh dining and natural foods scenes, the influence of the University of Colorado Boulder, and enough craft beer to put a smile on anyone's face.
Relocation assistance is available.
Requirements:
* PhD in a quantitative field and a minimum of 7 years experience working in complex computing and analytic contexts (or equivalent experience).
* Experience with deep learning frameworks (Tensorflow, PyTorch…). Experience in applying GPUs in training and prediction, a strong plus.
* A passion to integrate research while maintaining a product vision. Your research abilities are matched to solid programming experience in modern languages such as Python, proficiency with database technologies including SQL and non-relational solutions, and data analysis.
* Experience with linguistic and statistical analysis of natural language utilizing applications from Artificial Intelligence and/or Natural Language Processing, including corpus-based continuous language models based on word embeddings such as Latent Semantic Analysis and/or Word2Vec.
* Interest in human cognition, teaching and learning. Experience with educational data is a plus.
* Evidence of good communication skills, both presentations and publications.
Software Engineer
Dessa
We are looking for a Software Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement and agile development. Experience with Python is a must, with bonus points for any experience with Pandas, NumPy, JavaScript, and strong unit testing. If you are eager to help build the best applied AI company and industry changing tools, then you need to join us.
Link:
https://boards.greenhouse.io/dessa/jobs/4097470002
Machine Learning Engineer
Dessa
We are looking for a Machine Learning Engineer who is passionate about creating solutions with massive impact, solving challenging real-world problems, and working in unexplored areas, continuous improvement and Agile development. Applied machine learning experience in driving business value from large datasets in Enterprise environments is a must.
Link:
https://boards.greenhouse.io/dessa/jobs/4101089002
Senior Machine Learning Engineer
Dessa
We are looking for a Senior Machine Learning Engineer who is passionate about creating solutions with massive impact, solving challenging real-world problems, and working in unexplored areas, continuous improvement and Agile development. Applied machine learning experience in driving business value from large datasets in Enterprise environments is a must.
Link:
https://boards.greenhouse.io/dessa/jobs/4101093002
Software Engineer - Data Engineering
Dessa
We are looking for experienced Data Engineers to work on the frontlines of transforming large enterprises with state-of-the-art machine learning technology. This role will involve working directly on client sites with our Enterprise Solutions team, including senior business leaders, fellow data engineers, and applied machine learning experts.
Link:
https://boards.greenhouse.io/dessa/jobs/4103158002
Software Engineer - Systems Integration
Dessa
Dessa is looking for a Systems Integration Engineer to help our Engineering team build and deploy enterprise-grade AI solutions with our clients. Working directly on client sites, the Systems Integration Engineer will collaborate with Dessa’s architects and engineers to deliver solutions that incorporates our proprietary platform for AI engineering, Foundations, with existing infrastructure and cutting-edge data technologies.
Link:
https://boards.greenhouse.io/dessa/jobs/4120256002
Senior Software Engineer - Solutions Architect
Dessa
Dessa is looking for a Solutions Architect to help our clients reach new heights with machine learning by leading the design of enterprise AI systems. Fusing technical finesse with industry experience, the Solutions Architect will play a critical role ensuring our clients’ success by integrating cutting-edge technologies in the data and machine learning space within enterprise environments.
Link:
https://boards.greenhouse.io/dessa/jobs/4120270002
Senior Software Engineer - Tech Lead
Dessa
We are looking for a Senior Software Engineer who is passionate about code craftsmanship, continuous improvement, agile development and test driven development to join our Engineering team as a Technical Lead . Experience crafting applications and tools using Python and extremely strong unit testing are a must.
Link:
https://boards.greenhouse.io/dessa/jobs/4101088002
Data Scientist - Point72
Point72
A Career with Point72’s MI Data team:
At Point72 MI Data, our Data Scientists sift through petabytes of unstructured data from diverse sources to discover trends and insights that help Point72’s Portfolio Managers create new investment theses. We combine an experiment-based approach with the strongest possible management support and the freedom to innovate unencumbered by bureaucracy. We encourage our Data Scientists to imagine the impossible, and provide the structure to bring those ideas to market in months, not years.
What you’ll do:
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from Big Data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:
• Tackle the challenges of featurizing and modeling large and unstructured data using machine learning and statistical techniques
• Manage all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
• Deliver research findings to investment teams, portfolio managers, and other internal clients
• Work within a team to help drive technical innovation through a collaborative R&D process
What’s required:
We look for candidates with extensive knowledge in machine learning, statistical models, and data mining tools, and a proven track record of working with large structured and unstructured data sets to extract timely, actionable insights.
Other requirements include:
• MS or PhD degree in a quantitative discipline
• 3+ years of industry working experience in a role that requires advanced statistical analysis
• 3+ years of hands-on working experience with varied and complex data sets
• Strong programming skills in the following languages: SQL, Python (preferred), R, Scala, Spark
Link:
https://careers.point72.com/CSJobDetail?jobName=data-scientist&jobCode=IVS-0003368&retURL=/CSCareerSearch?filters=_area=data%20science
Machine Learning Engineer
Standard Cognition
Every year people wait in line for more than 1 billion hours. We're building a computer vision system to put an end to lines everywhere. Come work on one of the most challenging areas of applied computer vision!
Computational Photographer
Polarr
Polarr is looking for someone who’s really interested in pushing the limit of photography + A.I., We are a small startup in the Bay Area and just received a yet-to-be-announced large (>$10mm) series A funding.
Problem Solver
Polarr
Polarr is an edge A.I. software company making big brains in small devices. We are looking for all kind of help in modeling, compressing, benchmarking and packing A.I. into consumer’s hands. There is an increasing amount of hard math and compute problems we need to solve in our company, thus we are looking for problem solvers.
We are still a small startup in the Bay Area and just received a yet-to-be-announced large (>$10mm) series A funding.
AI / Computer Vision Scientist
envision.ai
envision.ai, based in Montreal Canada, is growing our team to usher in the latest advancements in deep learning and develop our technologies for maximizing the value of image and video through maximizing discoverability, automatic video analysis, ranking, frame selection and summary. We are looking for talented computer vision and deep/machine learning practitioners to work on both practical products and advancing deep learning research. We support publication of your research and results.
Are you passionate about working in a flexible, well-compensated, entrepreneurial and stimulating environment to build state-of-the-art products? Let’s talk about you joining the team! Please contact us at careers@envision.ai
Link:
envision.ai
AI Research Engineer
CortAIx @Thales
Established in 1972, Thales Canada is a leading electronic solutions provider for the Transportation, Defence & Security, and Aerospace sectors. Thales Canada employs staff across main sites located in Montreal, Quebec City, Ottawa, Toronto and Vancouver.
Thales needs to build increasingly sophisticated technologies, particularly in detection, analysis and decision-making technology (prediction and explanation), in order to design and develop critical AI systems i.e., AI systems which take (explainable) intelligent decisions in real-time.
With the exciting advancements within our Research and Technology hub, we are seeking AI Research Engineers to progress the development of the AI Research and Technologies based in cortAIx our Center of Research and Technology in Artificial Intelligence eXpertise located in Montreal.
Basic Qualifications
• Master’s degree in computer science, engineering or mathematics fields
• Prior experience in artificial intelligence, machine learning, natural language processing, or advanced analytics
• Excellent verbal and written communication skills in English
Professional Skill Requirements
• Good foundation in mathematics, statistics and probability
• Strong knowledge of Machine Learning foundations
• Strong Python programming skills
• Strong development skills with Machine Learning frameworks e.g., Scikit-learn, Tensorflow, PyTorch, and scientific Python (e.g. numpy)
• Knowledge of mainstream Deep Learning architectures
• Working knowledge of Linux OS and shell scripting
• Hands-on experience with git and issue tracking systems
• Ability to work creatively and analytically in a problem-solving environment
Preferred Qualifications
• A track record of AI-related projects on Github (or similar), open source a plus
• Demonstrated abilities in designing scalable AI systems
• Hands-on experience with Docker, AWS
• Hands-on experience with data visualization, analytics tools/
• Familiarity with rapid prototyping
Link:
https://www.thalesgroup.com/en/worldwide/group/press-release/thales-selects-canada-new-global-hub-boost-artificial-intelligence
AI Research Scientist
CortAIx @Thales
Established in 1972, Thales Canada is a leading electronic solutions provider for the Transportation, Defence & Security, and Aerospace sectors. Thales Canada employs staff across main sites located in Montreal, Quebec City, Ottawa, Toronto and Vancouver.
Thales needs to build increasingly sophisticated technologies, particularly in detection, analysis and decision-making technology (prediction and explanation), in order to design and develop critical AI systems i.e., AI systems which take (explainable) intelligent decisions in real-time.
With the exciting advancements within our Research and Technology hub, we are seeking AI Research Scientists to progress the development of the AI Research and Technologies based in cortAIx our Center of Research and Technology in Artificial Intelligence eXpertise located in Montreal.
Basic Qualifications
• Ph.D. in computer science, engineering or related scientific fields
• 1-7 years of experience in artificial intelligence, including machine learning. natural language understanding, and decision optimization
• Strong publication records in top conferences (NIPS, AAAI, IJCAI, ICML, COLING, ISWC…) and journals
• Proven development and rapid prototyping skills in Python, C/C++, Java, R, etc.
• Excellent verbal and written communication skills in English
Professional Skill Requirements
• Good foundation in mathematics, statistics and probability
• Strong knowledge of Machine Learning foundations
• Strong development skills with Machine Learning frameworks e.g., Scikit-learn, Tensorflow, PyTorch, and scientific Python (e.g. numpy)
• Knowledge of mainstream Deep Learning architectures
• Eagerness to contribute in a team-oriented environment
• Ability to work creatively and analytically in a problem-solving environment
Preferred Qualifications
• A track record of AI-related projects on Github (or similar)
• Prior experience with Explainable AI systems a plus
• Demonstrated abilities in designing scalable AI systems
Link:
https://www.thalesgroup.com/en/worldwide/group/press-release/thales-selects-canada-new-global-hub-boost-artificial-intelligence
Machine Learning Scientist at ML hardware startup
Lightmatter
If you are interested in the position described below, Tomo Lazovich and Martin Forsythe are both at NeurIPS and happy to chat (you can contact us through Whova)
=======================
Lightmatter builds chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work...work like building the world's first optical computers, consider joining the team at Lightmatter!
Job Description
Research and build state-of-the-art and novel machine learning algorithms that leverage the our unique hardware for different semantics of data (images, video, text, audio, and other modalities).
Understand and analyze the interplay between machine learning software and hardware.
Drive the hardware-software co-design of our deep learning platform—from silicon to deep learning frameworks.
Develop detailed performance models and benchmarks for a large-scale photonic deep learning accelerator.
Key Qualifications
PhD in computer science, physics, or mathematics required.
5+ years experience in artificial intelligence, machine learning, and neural networks; preferably with significant publication records.
Highly proficient in machine learning and deep learning programming languages and framework, e.g. Python, C++, Tensorflow, PyTorch, Caffe, Keras.
Ability to manipulate and analyze complex, high-volume, high-dimensional data from different sources.
Solid understanding of different machine learning accelerator architectures, e.g. GPU, ASIC, and FPGA.
Link:
https://jobs.lever.co/lightmatter/3078e929-7571-4ab5-b2df-b22aef74838c
Data Scientist
Uber
We are looking for an experienced Data Scientist (2+ years DS work experience) on the Global Intelligence team. We work cross functionally with the product, engineering, and operations teams to develop models, optimization strategies, tools and insights related to competitive positioning, driver/rider engagement, and promotion/incentive efficiency. We generate the vital intelligence required for Uber’s strategic decision-making and product roadmaps, focused on solidifying Uber as the preferred choice in ride-sharing, food delivery and multimodal transportation.
What you'll do
Work closely with key stakeholders in product, finance and operations to form deep understanding of growth and marketplace dynamics, including product and pricing patterns, outlier detection, forecasting, and imputation
Collaborate with product and engineering to integrate various sources of data.
Apply strict sampling, statistical inference, and survey techniques to derive insights from small samples of data.
Develop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trends
Automate and own the end-to-end process of modelling and data visualization.
Present models, findings and insights to senior management to catalyze business decisions.
Link:
https://www.uber.com/en-NI/careers/list/33979/
Applied ML - Customer Success Engineer
Sightline Innovation
Customer success is responsible for executing on customer deliverables.
What we sell
• SIMON - Point and Click AI platform
• SID - Data Trust, Compliance, Distributed Ledger product for data sovereignty.
• Consulting services:
DSaaS - data science services
MLaaS - machine learning services & any custom development
SIMON/SID support services - configuration/support for products
Technical consulting - raw billable hours
RESPONSIBILITIES
• Lead MLaaS efforts to develop client specific solutions
• Liaise with Customer Success team, Sales team and Product (Dev) team
• Customer Projects:
- Determine requirements for customer project (algorithms, results, reports, visualizations, UI)
- Provide gap analysis to Product Team
- Provide feature requests to Product Team (immediate and long term)
- Identify and maintain the software systems used to create a delivery package
- Design, build and optimize client solutions using the above identified software systems
- Integrate the client solutions with client’s infrastructure / enterprise system / software / hardware
- Operate and maintain the software systems in the delivery package
- Liaise closely with the client’s technical team
- Participate in project update meetings with the clients
- Document process for creation of the delivery package
- Prepare project report as per the delivery package
• Operations:
- Maintain a current understanding of the competitive landscape
- Work with sales engineer on setting up customer data lake with customer data
- Work with sales engineer to setup SIMON to the point where ML experiments can be performed through the SIMON interface
- Work with sales engineer on pre-sales proof of concept projects
- Support sales team in product demonstrations.
• Product:
- Based on understanding of common needs across customers, provide feedback and input to the product team for additional feature requirements.
Link:
https://www.sightlineinnovation.com
Tenured Assistant Professor position in Machine Learning in the French Riviera
EURECOM
The Data Science Department at EURECOM invites applications for a tenured position at the Assistant Professor level in the area of Machine Learning.
Working language: English
Please get in touch if you are interested in knowing more about the position.
Link:
http://www.eurecom.fr/sites/www.eurecom.fr/files/jobs/DS_PM_PROF_ML_US.pdf
Software Engineer, Perception
Zoox
In this role, you'll help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. You'll have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, sensor fusion, and high-level scene understanding, and you could work on any (or all!) of those components.
Come to our talk in the Workshop on Intelligent Transportation on Saturday at 4:00 in room 514 to learn more about us and chat with our engineers!
Qualifications
Masters degree in computer science or related field
Fluency in C / C++
Experience with modern computer vision techniques
Extensive experience with programming and algorithm design
Demonstrated ability to create functional realtime systems that solve difficult perception tasks
Experience handling large data sets efficiently
Strong mathematics skills and understanding of probabilistic techniques
Bonus Qualifications
Publications in your field (especially CVPR, ICCV, RSS, ICRA)
Experience with autonomous robots
Experience with realtime sensor fusion (e.g. lidar, camera, radar)
Experience with novel pipelines and architectures for convolutional neural nets
Experience with 3D data and representations (pointclouds, meshes, etc.)
NLP Research, Semantic Role Labeling
Forge.AI
Forge.AI is actively searching for NLP researchers with a focus on semantic role labeling.
Forge, located in Cambridge Ma., focuses on the extraction of domain specific events where an event can be considered a typed collection of semantic roles. These structured events, extracted in real-time from data we collect, are used by our clients to support multiple ML and analytical processes essential to their operations. Our NLP environment is integrated with a (probabilistic) semantic knowledge base. This KB, among other things, enables the resolution of the specific elements constituting an event to their specific named instances.
If you are interested in discussing this opportunity more please contact Jack Crowley (jack@forge.ai) or Thomas Markovich (thomas@forge.ai). Perhaps we can have coffee and discuss these opportunities further.
Link:
Http://forge.ai
Machine Learning Scientist
Amazon
Amazon in Bangalore is looking to hire full-time scientists and Interns in the areas of machine learning, artificial intelligence, text and multimedia data mining, and information retrieval and extraction.
You can find more information about the problems that the India Machine Learning team is working on at the following website: https://www.amazon.jobs/en/landing_pages/india-machine-learning/
So, what exactly are we looking to accomplish with Machine Learning?
The mission of the India Machine Learning team is to build machine learning solutions for customer issues and requirements unique to India, drive adoption of machine learning by democratizing knowledge of machine learning techniques and access to machine learning tools, and develop disruptive technologies for the India market with a long-term focus.
Some of the key focus areas for the team include:
Ø Improve operational efficiency by reducing abuse, improving address quality and increasing payment/delivery success rates.
Ø Improve customer experience by increasing search results and ads relevance, personalization, and providing conversational interfaces.
Ø Improve seller experience by providing automated tools (e.g. for forecasting product demand) that help them grow their businesses on Amazon.
Ø Improve catalog quality by identifying and correcting defects related to product attributes (e.g. title) and images.
Ø Build ML platforms to speed up development and deployment of ML solutions.
Ø Spread ML knowledge to empower the Amazon technical community.
Link:
https://www.amazon.jobs/en/landing_pages/india-machine-learning/
Engagement Lead
Dessa
We are looking for an experienced Engagement Lead who can translate advanced AI applications into measurable business impact. In this role, you will have a chance to lead an amazing team of business and technical experts on a mission to enable client successes using cutting-edge machine learning technologies.
Working with clients across diverse industry verticals, as Engagement Lead you will help enterprise teams transform their organizations with AI, unlocking the technology's true potential. As part of a dynamic and quickly growing team at Dessa, you will be at the forefront of the AI revolution.
Link:
https://boards.greenhouse.io/dessa/jobs/4103143002
Multiple Offerings in Deep Learning and Engineering
Ascent Robotics, Inc
Solve problems and publish your AI solutions in Robotics and Self-driving cars in Tokyo at Ascent Robotics www.ascent.ai
Apply through our website, or chat with us at NeurIPS 2018
anthony@ascent.ai
thomas@ascent.ai
Autonomous Vehicles Engineering:
Computer Vision Engineer
Robotic Field Test Engineer
Robotics Engineer, Autonomous Vehicles
Software Engineer, Autonomous Vehicles
Infrastructure and tools:
Full-Stack Software Engineer, Infrastructure and Tools
AI Research & Development:
Machine Learning Engineer
Perception Engineer
Research Engineer
Research Scientist
Software Engineer, AI Research
Robot Arm:
Robot Arm Engineer
Robotic Simulation Engineer
Software Engineer, Robot Arms
Simulation:
Software Engineer, 3D Simulation
Technical 3D Artist
Link:
www.ascent.ai
PROFESSOR IN COMPUTER ENGINEERING - ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Polytechnique
The Department of Computer and Software Engineering is located in the Lassonde buildings and enjoys spacious laboratories equipped with state of the art equipment. The department has 33 Professors, three Faculty Lecturers, 15 support staff, many postdoctoral researchers, professional researchers and research assistants, and more than 1200 undergraduate and 200 graduate students. It offers two undergraduate engineering degrees, in Computer and in Software Engineering, and several graduate degrees. The department leads internationally recognized research, in close collaboration with industry, in seven core areas: software construction and analytics, computer security and reliability, medical image computing, multimedia and digital entertainment, data science and artificial intelligence, and cyberphysical and embedded systems.
Link:
Polytechnique Montréal is one of Canada’s leading engineering schools and the largest in Québec in terms of its student population and the scope of its research activities, with more than 8,000 students and 1,000 employees. Polytechnique Montréal is seeking applicants for a Professor position in the Department of Computer and Software Engineering.
Applied Research Scientist
Element AI
What you’ll do
You will be confronted with real-world challenges and datasets, and you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way. You will be called upon to assess possibilities and provide ideas and input into product design choices. This will involve understanding your customer (internal or external) needs and and translating them into solutions that address those needs.
You will be expected to both do the necessary research to propose appropriate models/techniques and to have the necessary expertise to implement and train the models yourself. Where useful, you will not hesitate to employ classical machine learning methods, but you are enthusiastic at the idea of pushing the boundaries of deep learning and AI.
Finally, you will be expected to embrace the fact that the value of your work is ultimately reflected in the impact it has on the end-customers using our products and to find ways of measuring that impact as an integral part of your mission.
Research Engineer - Robotics
Element AI
As a Research Engineer in Robotics you will:
Develop software capabilities and systems for enabling autonomous and interactive robots
Advocate for reusable and modular software infrastructure
Employ agile DevOps to maintain codebases during rapid development
Deploy solutions on real robot hardware after extensively vetting them on high-fidelity simulations
Build upon existing open-source libraries and frameworks, and find opportunities to contribute back to the community
Participate in the sharing of acquired knowledge, both among other branches within Element AI, as well as publically with the international community
Contribute in the development of the Robotics Group and the Lab, whilst collaborating with other branches of Element AI
Research Scientist - Machine Learning
Element AI
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science.
Element AI wants to carry out fundamental research that advances the state-of-the-art in AI, unfettered by short-term product or client deliverables.
Researchers have the responsibility to set their own research agendas and are expected to collaborate with their colleagues and the global AI community. It is our philosophy that interaction between Element AI and the research community is a key differentiating factor for the company (non-predatory model, i.e. aiming at collaboration without constraints), therefore we encourage our researchers to publish and develop open solutions.
Our research agenda covers many subjects and, based on your interests and our needs, you could explore generative models, reinforcement learning, natural language processing, constraint programming or a variety of other topics.. You will collaborate closely both with software developers and with scientists. In particular, you'll get the opportunity to interact closely with world-class academics from our Faculty Fellowship program, such as Aaron Courville, Christopher Pal, Simon Lacoste-Julien and Liam Paull. These collaborations will often lead to publications in the most important journals and conferences.
Guest Lecturer in Machine Learning in St. Petersburg
JetBrains Research
JetBrains Research together with Higher School of Economics is looking for lecturers from various areas of machine learning to come for 2-3 weeks to St. Petersburg, Russia to teach a course in their area of expertise to advanced students.
Travel and accomodation is provided, plus stipend.
Machine Learning Executive Director - Center of Excellence
JPMorgan Chase
The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be a leader in our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
8+ years of hands-on experience developing machine learning models.
2019 Summer AI internships
Canon Medical Research Europe
Applications open for students or recent graduates who would like to be considered for a 3-month paid internship between June and September 2019. This is an excellent opportunity to gain industry experience in a company developing industry-leading medical imaging and healthcare solutions, doing work that is fast paced and intellectually stimulating. Internships cover a range of projects within the software engineering and scientific teams. Applicants should have a strong academic record in a numerate subject and sound coding skills. For AI projects we work primarily in Python, with knowledge of C++ also useful.
Closing date for applications is 13th January 2019. Applicants must have the right to work in the UK (or apply for this independently).
To apply, go to our website home page, scroll down and click 'Career Opportunities', 'Search Vacancies' and then click on the 'Internship - Software engineering and Imaging Science' option.
Link:
https://research.eu.medical.canon
AI Engineer at Jumio AI Labs
Jumio AI Labs
Are you an AI reseacher who's fallen in love with Montreal in your time at NeurIPS? Have you always wanted to work on difficult problems in Computer Vision with massive datasets at your disposal?
Well, you're in luck! Jumio, the industry leader in ID verification, is hiring for our Montreal AI lab.
If you're interested, send me a message, email or just walk up and say Bonjour.
Computer Vision Software Engineer
Boeing
The Boeing Company is seeking a talented and highly motivated computer vision expert with software programming experience. The engineer will be interested and have experience in computer vision and machine learning as well as experience in feature tracking, feature-based 3D reconstruction, 3D environmental mapping, sensor localization, object detection and image recognition and retrieval.
Link:
http://j.rfer.us/BOEMa7xHS
Autonomy / Artificial Intelligence Advanced Technologist
Boeing Research & Technology
We are looking for Autonomy-AI Advanced Technologists interested in and passionate about solving top challenges in autonomy, and artificial intelligence to join our team and change the world with us.
The ideal candidate will have experience with object oriented programming and design, robotics and autonomy techniques such as A* and SLAM or related methods, and general knowledge of algorithms and data structures. GPGPU programing, or messaging standards and service oriented architectures is a plus. Familiarity with flight dynamics is a strong plus as is any experience with hardware related to sensors, embedded systems, and systems integration. Additionally, the ideal candidate will have general knowledge in supervised learning, unsupervised learning, and reinforcement learning algorithms. The candidate will be able to effectively apply machine learning and data mining to applications such as machine perception, planning, computer vision, feature extraction, pattern recognition, vehicle health monitoring, sentiment analysis, and automation.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.
http://j.rfer.us/BOEOEuxHT
Link:
http://j.rfer.us/BOEOEuxHT
Deep Learning Engineer (Vision)
V7
V7 visually understands scientific research in real time and automatically transcribes it reducing human lab hours by half in cancer, Alzheimer’s, and MS research.
Our work mainly involved 6D pose, segmentation, robotic manipulation, and the use of synthetic data.
V7 is a Gold sponsor at NIPS, come to booth 619 to speak to our team.
Link:
V7labs.com
Uber Maps Data Scientist
Uber
https://www.uber.com/careers/list/40664/
Link:
https://www.uber.com/careers/list/40664/
Summer internship in (D)RL
Amazon
Come and solve one of world’s largest control problems using (D)RL.
Three research associate positions - generative models, curiosity-driven learning, program synthesis
Romanian Institute of Science and Technology
Three research associate positions in machine learning / deep learning are available within a EU-funded project. The positions are offered for about 2 years (until December 2020), at the Romanian Institute of Science and Technology (RIST) in Cluj, Romania. Applications will be assessed on a rolling basis and the starting date may be as soon as the selected candidates are available.
The positions correspond to one or more of the following topics:
1. Studying generative models, autoencoders or compressors for data with long-range or hierarchical structure, in particular: a) web pages (HTML / CSS code), and b) sensorimotor data – vectors of perceptions and actions recorded over extended timeframes.
2. Studying curiosity-driven learning, deep reinforcement learning, hierarchical reinforcement learning and meta-learning for: a) tasks typically used as benchmarks in the field, such simulators or games; or b) artificial intelligent agents that interact directly with a computer, for example generating HTML / CSS code, or more general software.
3. Studying new approaches to program synthesis that may integrate machine learning / deep learning, reinforcement learning, evolutionary methods, and classical approaches.
4. Applied research on machine learning systems that are trained on large repositories of web pages and learn to generate HTML / CSS or similar code. This should lead to systems that automatically upgrade websites or to systems that learn to generate web pages with a state-of-the-art design conditioned on mockups drawn by clients.
More information: https://rist.ro/job-a1
Link:
https://rist.ro/job-a1
Machine Learning Engineer
TheTake.ai
About the Role
You’ll help study and build new machine learning models, and maintain our existing machine learning infrastructure. You will work closely with others in the company, including backend and product to assist in integrating your work with our client-facing products. For applicable work, you will be responsible for producing technical reports in the form of patent applications and/or research papers. You will proactively inform our overall AI product roadmap and serve as a valuable member of the team at large.
Key Responsibilities
Train custom models and evaluate model performance to improve the performance of our current product.
Take cutting edge machine learning research and develop new products.
Help the team integrate production-ready models.
Help build and maintain our research and back-end ML infrastructure.
Conduct novel research and produce technical reports when applicable.
Bridge the gap between research and product.
ML Research Engineer
HodooAi
We are looking for 4-5 ML engineers who will work on image/video analysis and processing.
A few positions with Korean military service exemption for Korean nationals are also available.
We are a startup out of a university research lab (SNU) based in Seoul, Korea, and plan to establish an office in Silicon Valley next year.
Link:
hodooai.com
Postdoc: physics + ML
Argonne National Lab
The successful candidate for this position will perform research in machine/deep learning to advance physics-aware artificial intelligence technology and applications. The successful candidate will work with a team of structural/mechanical engineering researchers to develop physics-guided machine/deep learning based algorithms, including designing machine/deep learning architecture incorporating physics models for broad artificial intelligence applications in computer vision, computational imaging, infrastructure sensing and identification, etc.
Apply at https://www.anl.gov/hr/postdoctoral-applicants (Requisition Number: 405341). Contact Dr.
Yongchao Yang (ycyang@anl.gov) for questions about this position.
Link:
https://www.anl.gov/hr/postdoctoral-applicants
Postdoctoral Researchers and Phd students in Deep Learning, Computer Vision and Robotics
Czech Technical University in Prague and Inria in Paris
Czech Technical University in Prague
We are looking for a post-doctoral researchers and Phd students in Deep Learning, Computer Vision and Robotics at the newly created Intelligent Machine Perception team (Josef Sivic, Tomas Pajdla, Francis Bach, Ivan Laptev, Jean Ponce, Vasek Hlavac) spanning Czech Technical University in Prague and Inria in Paris. The positions are in Prague but include the possibility of extended stays at Inria in Paris. We are looking for strongly motivated candidates with Phd (for post-doc) in computer vision, machine learning or robotics and a proven track-record of publications in top conferences and journals. For Phd students MSc degree is necessary. We offer competitive salary and work on cutting edge research with high-impact applications in autonomous driving, smart assistive robotics or augmented reality. The position includes the possibility of participating in teaching and co-advising MSc or Phd students. Follow-up tenure track openings are also available. For more details please see: http://impact.ciirc.cvut.cz
Please send your CV to josef.sivic@inria.fr and pajdla@cvut.cz.
Link:
http://impact.ciirc.cvut.cz
Research Engineer
Helm.ai
Helm.ai is building the next generation of AI technology for autonomous driving. We are a team of researchers and engineers, with backgrounds from institutions including Stanford, Berkeley, MIT, Caltech, Yale, Quora, Stripe, Google and Facebook, with over a hundred publications to our names and thousands of citations. Our AI-first approach to autonomy has enabled us to place first in public deep learning competitions and to demonstrate autonomous capabilities beyond today's production systems.
We are seeking smart, motivated researchers to help us broaden our perception capabilities. Please reach out to tudor@helm.ai with your CV if you are interested in this position. More information, including demos, available on request.
Data Scientist
Deep 6 AI
Come join us in the healthcare space helping clinical researchers find patients for trials in minutes rather than months. We are a quickly growing start up looking to continue expanding our data team with expertise ranging from NLP to recommender systems and beyond. İf you'd like to work towards great positive societal impact in a highly collaborative environment send me a CV at kerim@deep6.ai!
Looking for:
- strong nlp and/or recommender system background
- comfortable taking models/studies from research all the way to deployment
- good coding habits
- experience with aws services
Nice to haves:
- familiarity with unsupervised/semisupervised learning
- creativity and cleverness around data efficiency
- experience with hadoop/spark
- strong mathematics background
- experience in healthcare data science
Link:
deep6.ai
ML & NLP Developer
Nexalogy
We are looking for someone to come on board and own the Nexalogy machine learning and NLP initiatives. If you are passionate about machine learning and NLP and do not mind learning new things, we would love to hear from you.
The job requirements are listed below. Don’t worry if you don’t match exactly. We’re looking for the best, not a cookie cutter developer.
Requirements:
• Academic background in statistics, deep learning, natural language processing and machine learning
• 3 or more years of software development experience
• Deep knowledge of software quality assurance and quality control processes and
practices
• Well versed in NLP methodologies (lemmatization, POS tagging, entity extraction,
sentiment analysis, automatic summarization)
• Spoken and written English and French
• Strong verbal and written communication skills
• Team player – You work well with a team and are good at giving and receiving
feedback. You enjoy celebrating wins with your team!
Responsibilities:
• Extract models from machine learning and then integrate those models into Nexalogy’s existing code base
• Perform statistical analysis of data and integrate advanced statistical fitting routines into Nexalogy’s existing code base
• Assist in integrating new sources of data and models into the Nexalogy platform
• Perform large-scale data analysis, explore and extract patterns, identify and
investigate anomalies Detail oriented with good problem solving skills
• Expand the Nexalogy artificial intelligence platform to new languages and locales
Bonus points:
• NLP experience in Cyrillic or East Asian languages
• Batch data processing experience with large scale systems (Hadoop, Apache
Spark, or similar)
• Real time data processing experience with large scale systems (Apache Storm,
Twitter Heron, Apache Samza, or similar)
• TenserFlow, spaCy, or NLTK experience
• Gate / JAPE experience
• Git experience
• Work experience in an agile software development environment
Link:
https://angel.co/nexalogy/jobs/352666-machine-learning-and-nlp-developer
Multiple Postdocs in Lifelong ML and Robotics at the University of Pennsylvania
University of Pennsylvania
The General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania invites applications for multiple full-time postdoc openings on the following topics:
1.) Lifelong Machine Learning
2.) Autonomous Mobile Service Robotics
3.) Transfer and Multi-Task Learning in Social Network Analysis
Ideal candiates would have experience in some combination of lifelong learning, deep learning, transfer learning, multi-task learning, non-stationary processes, reinforcement learning, Bayesian methods, robotics, computer vision/perception, social network analysis, and/or relational learning.
These positions are available immediately and will be renewable for up to 4 years. Candidates should have a strong background in ML and/or robotics, supported by a solid publication record in top-tier conferences. A Ph.D. is required.
For further information and instructions on how to apply, visit http://www.seas.upenn.edu/~eeaton/openpositions.html
Link:
http://www.seas.upenn.edu/~eeaton/openpositions.html
Machine Learning Engineers & Research Scientists
Insite AI
Want to live in New Zealand?
- Dream lifestyle and excellent work culture.
- Leading AI startup in New Zealand and Australia.
- Home to multiple AI PhDs (ex Google, Facebook, Amazon, etc.).
Why they’re coming here:
- Newer company; you get lead, make real impact, and be recognized for it.
- Apply truly cutting edge AI & ML to genuine problems.
- Strong partners, global customers, university collaborations, and funding.
Highlights:
- Will sponsor visa.
- Competitive pay.
- Opening Los Angeles office, your alternate option.
* Roles Available *
ML & AI Engineers, Research Scientists, Data Scientists.
* Experience in one of: *
Reinforcement learning, representation theory, generative adversarial networks, deep learning, NLP, CV. Also Tensorflow, PyTorch, Pyro.
Simply register your interest or send a 1 sentence email to shaveer@goat.ventures or shaveer@insite.ai
Link:
www.insite.ai
Senior Python Developer
Pearson AI Products and Solutions
We are looking for a Senior Python Developer to join Pearson’s AI Products and Solutions team in Centennial, CO! Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences. The position provides the opportunity to engage in cutting-edge research on a cross-functional team and contribute to developing products that have an impact on millions of learners around the globe.
We use AI to help students.
We value work-life balance.
If you’d like to take in person on Friday please reach out!
https://www.linkedin.com/jobs/view/938502979
Link:
https://www.linkedin.com/jobs/view/938502979
Postdoctoral position
Boston College
PLEASE DON’T PRESS “I’m Interested”
Please apply according to the instructions.
Prof. José Bento is looking for postdocs
• Parallel and distributed optimization, proximal algorithms, convex and non-convex optimization
• Machine learning, statistics, graphical models, and information theory
• Applications to system biology, robotics, and CV (the candidate will have considerable freedom to shape his/her own project. See past projects www.jbento.info)
Boston College, Boston, MA, USA (the greatest concentration of top Universities in the world)
Up to 2 years, start date anytime 2019 negotiable
Rewarding projects, great location, with opportunities for collaboration with other schools/departments, freedom to explore, available advisor, competitive salary
Send CV and references to postdoc@jbento.info
Research internship
Boston College
PLEASE DON’T PRESS “I’m Interested”
Please apply according to the instructions.
Prof. José Bento is looking for summer visiting PhD. students with a strong background in mathematics, in particular, linear algebra, optimization, probability/statistics, and real analysis. Non CS students (bio, math, physics, etc.) are welcome to apply.
Be paid to have fun developing and analyzing algorithms to solve problems in AI and learn a lot in the process. Students can design their own project.
See past projects at www.jbento.info
3 to 4 months, Spring and/or Summer 2019 (start/end date is negotiable)
Boston College, Boston
Send CV to visiting@jbento.info
Machine Learning Data Engineer
Vanguard Group
Hi, we are hiring one hacker, aka machine learning data engineer, to join our research group to contribute to machine learning R&D.
We only have one expectation: hacking skills to make things happen.
More details, please chat.
Senior Compiler Engineer
Unity Technologies
Data Oriented Programming and Core Engine Team
C++and C#
Link:
Unity.com
Senior Software Engineer Data Oriented Programming
Unity Technologies
Work on Core Engine Team in Burbank with founders of Unity in Copenhagen
Link:
Unity.com
Qualcomm AI Research - Deep Learining / Machine Learning / Computer Vision Eng.
Qualcomm
At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.
Our key AI research areas:
Power efficiency: Model design, compression, quantization, activation, algorithms, and efficient hardware.
Personalization: Continuous learning, model adaptation, and privacy-preserved distributed learning.
Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning.
System architecture: Multi-task and multi-modal learning, sensor fusion, and cloud-edge systems.
Desired Qualifications:
Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) or reinforcement learning (RL)
Experience implementing DL/RL algorithms in high-level languages/packages (e.g. Python, C++, Java, MATLAB)
Experience with classification and regression algorithms (e.g. SVM, MLP)
Strong understanding of machine learning algorithms & principles, and numerical optimization
Experience using machine learning toolboxes (e.g. Caffe, TensorFlow, or PyTorch)
Experience implementing machine learning algorithms on embedded platforms
Track record of research excellence and high quality publications
Knowledge of application areas, such as computer vision or speech analysis
Roles Available:
Deep Learning Research Engineer
Software Research: Deep Learning Tools and Integration Engineer
Machine Learning Software Engineer
System Integration & Test Engineer, Machine Learning
Autonomous Driving Systems/ Software Engineer
AI/ML/CV Research and Development
Computer Vision Engineer
Extended Reality Engineer
Imagining Technology Engineer
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1968393
Summer internships @ Amazon forecasting
Amazon
Internships at Amazon in applying ML/DL to world’s largest demand forecasting problem, along these lines: https://arxiv.org/abs/1711.11053
2019 Research Internships at NEC Labs, Machine Learning
NEC Labs America
Description
The Machine Learning Department of NEC Labs America invites applications for summer and fall 2019 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, and big data analytics. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.
The Machine Learning group (located at Princeton, NJ) conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision and semantic comprehension. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.
Ongoing projects focus on text understanding, question answering, deep
generative models, robust representation learning, few-shot/zero-shot learning, machine reasoning, interpretable models, data visualization, deep learning systems, and deep reinforcement learning, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology and previous intern projects have been published in NIPS, ICLR, CVPR, AAAI and ICML in 2018.
Position Requirements
• Currently enrolled or admitted in PhD/MSc program in computer science, statistics, electrical engineering, or equivalent.
• Research experience in machine learning.
• Strong computational background.
• Strong programming and scripting skills.
• Strong communication and collaboration skills.
Interested candidates please apply directly at: https://www.appone.com/MainInfoReq.asp?R_ID=22
Scientist
Staples
POSITION SUMMARY:
The Scientist is responsible for applying advanced analytical methods to improve automated decision-making at Staples. Using machine learning, statistical analysis, and mathematical optimization, the individual plays a key role in supporting the development of state-of-the-art solutions to complex decision-making problems.
The ideal candidate will have:
• A strong foundation in data science accompanied by patents and publications
• Hands-on experience with data science software development
• The ability to solve problems and deliver results in a fast-paced environment
PRIMARY RESPONSIBILITIES:
Work closely with engineering and business partners to understand critical, complex, data-driven challenges, and then apply analytical methods to solve them
Research, design, and implement data models and innovative algorithms to analyze diverse sources of data to realize actionable results
Communicate results to executive leadership
Qualifications
QUALIFICATIONS:
8-10 years industry experience and BS or MS in Computer Science, Statistics, Operations Research, Applied Mathematics, Applied Physics, or related field
Knowledge of retail, e-commerce, supply chain, merchandizing, marketing, pricing, or related domain
Hands-on experience with mathematical modeling, and mathematical optimization techniques and technologies as well as advanced machine learning, data mining, statistical inference
Experience working with data science relevant technologies and development toolsets
Hands-on experience with querying databases to drive required analysis independently and swiftly
The ability to think big, manage ambiguity to move quickly, and deliver results in a fast-paced environment
Desired Skills/Degree:
Strong object-oriented programming experience
Experience with troubleshooting, debugging and continuous integration
Experience developing large scale systems using parallel and distributed computing
PhD
Link:
https://careers.staples.com/ShowJob/Id/460960/Data-Scientist/
PHd studentship DEVELOPING MULTI-MODAL NEUROIMAGING BIOMARKERS FOR THE DETECTION OF EARLY-STAGE PSYCHOSIS
University of Glasgow
DEVELOPING MULTI-MODAL NEUROIMAGING BIOMARKERS FOR THE DETECTION OF EARLY-STAGE PSYCHOSIS
Keywords:Psychosis, Neuroimaging, Magnetoencephalography, Machine-Learning, Early Intervention
Project Summary: The project will develop new predictive algorithms for mental health outcomes in young people at high-risk for Schizophrenia (ScZ) that will synthesize expertise from cognitive neuroimaging, clinical psychology and data-analytics. This framework will utilize a unique multi-modal neuroimaging data-set that has been collected as part of the MRC-funded Youth Mental Health Risk and Resilience (YouR) study. The YouR-study is the only study worldwide to employ Magnetoencephalography (MEG) in combination with Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS)-data to develop predictors for ScZ in at-risk individuals. Currently, n=150 participants meeting clinical high-risk (CHR) criteria have been comprehensively assessed with a multi-modal imaging battery in combination with follow-up data for up to three years. In addition, n=40 participants with affective disorders and substance abuse (CHR-negative) as well as n=50 controls have been recruited.
The project will employ cutting-edge machine learning techniques to identify multi-modal biomarkers for the prediction of psychosis in CHR-participants and related mental health outcomes. We expect that the resulting predictors for mental health outcomes in at-risk individuals are significantly more powerful than biomarkers from single modalities. Moreover, we expect to identify subgroups of CHR-participants based on multi-modal neuroimaging data that will reveal insights into pathophysiology processes underlying emerging psychosis that will likely be important for the development of novel psychological and pharmacological therapies.
Project Team: The project team consists of experts in neuroimaging, psychosis research and advanced data-analytics. Professor Peter Uhlhaas (primary supervisor) is based
Link:
https://www.gla.ac.uk/research/ourresearchenvironment/prs/kelvinsmith/shortlistedscholarshipprojectsfor201920/mvlsdevelopingmulti-modalneuroimagingbiomarkersforthedetectionofearly-stagepsychosis/
Senior Data Scientist - Fintech
BrainFinance
We are looking for a passionate and experienced senior data scientist with strong machine learning experience to join our expanding analytics team consisting of data- and algorithm-focused individuals. In this team, the data scientist will participate in algorithm development as well as building machine learning and predictive models for our multiple operations such as portfolio risk analysis, underwriting process, fraud prevention, and many more. Candidate must be comfortable working in a dynamic start up environment requiring high autonomy, resourcefulness and strong problem-solving skills. Most of all, you will be part of a growing and exciting team of quantitative-minded individual at the core of the business’ operations
Research Positions: ML/DL for Healthcare
Institute for Infocomm Research, A*STAR
Our programmes span machine learning, deep learning and artificial intelligence R&D for healthcare applications. Projects interface one-of-a-kind clinical datasets with cutting edge deep learning/machine learning technologies and unique multidisciplinary collaborations. Our focus is to address critical technology gaps in harnessing the power of AI for transforming healthcare.
We are building a nimble, startup-like environment with the backing and resources of A*STAR, Singapore's national-level full-spectrum R&D organization.
We are seeking scientists, engineers, interns and students to expand our dynamic and multi-disciplinary team. Scholarships for Masters/Ph.D. students also available.
Specific research themes include multimodal data analytics on combinations of structured and unstructured healthcare data, predictive analytics on time series healthcare data, optimization methodologies for decision support, federated learning, unsupervised deep learning, domain knowledge integration for interpretable ML/DL, advanced methods for medical image processing, and overcoming barriers for translation or deployment of ML/DL solutions in practice.
All positions entail working in large multi-disciplinary machine learning and deep learning teams in close collaboration with clinical, academic and industry partners on projects that have the potential to transform patient-care and deliver improved health outcomes.
Candidates with backgrounds in mathematical optimization, deep learning, machine learning, Bayesian methodologies, statistical inference, natural language processing, computer vision, medical image processing, biomedical informatics, and data mining are welcome to apply.
Strong data science, visualization, and programming abilities required. Experience in corporate or application oriented research environments, and working experience with biomedical and healthcare datasets is a plus.
Machine Learning Scientist in Healthcare
IQVIA
Please feel free to email me your resume or if you have any questions!
The IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry. At IQVIA, we look for the very best people, and then give them meaningful work to do. we don’t simply think about careers, we think about contributions.
The position will use large data sets to find opportunities for product and process optimization and models to test the effectiveness of different courses of action. Our data scientists have strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms and simulations. For this position, we are seeking several years of direct experience with developing algorithms and models to solve prediction problems. Awareness of various techniques available to use in predictive analytics. Using their proven ability to drive business results with their data-based insights, they will comfortably interact and work with a wide range of stakeholders and functional teams.
What you’ll be doing:
• Build machine learning/statistical models for solving predictive analytic tasks with electronic healthcare claims and medical records
• Apply machine learning, data mining technologies in developing innovative solutions in pharmaceutical industry.
• Clean, analyze and select data to achieve goals.
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data collection, normalization, transformation, embedding, visualization, etc.
• Work with IQVIA technology team to support machine-learning algorithms in big data platform to solve a variety of business problems
Machine Learning Research Intern
IQVIA
Please feel free to email me your resume or if you have any questions!
IQVIA Advanced analytic department has five Machine learning research intern openings. They will work on one of the machine learning for healthcare projects, e.g., 1) physician targeting project, where the goal is to use clinical data to identify doctors with high sales potential by forecasting their prescription amount. 2) patient treatment alert: using patient level clinical data, forecasting if a patient will start treatment or be diagnosed in next few months. 3) rare disease detection: identifying under-diagnosed rare disease patients among positive and unlabeled data. Because one important expectation for the intern is to have patent or publications during the summer, senior Statistics, EE, CS Ph.D. candidates are preferred.
Summary of duty
1. Conduct research work to solve our existing data science problems at IQVIA by leveraging state of art machine learning algorithms.
2. Develop new algorithms
3. Publish papers to top conferences if we get good research results
Required Skills
1. Concrete understanding of state of art machine learning algorithm, particularly deep learning algorithms.
2. Proficiency in programming languages such as Python, R, C++, etc.
3. Academic paper writing skills.
4. Interests in applying AI ML to health care industry
Machine Learning Frameworks & Research Engineer
Apple
The Core ML team in the AI / ML group at Apple creates frameworks such as CreateML and CoreML to bring advanced machine learning algorithms and tools to the hands of developers. The team is looking for engineers that are creative, talented and passionate about releasing developer-facing frameworks to contribute to new features of CreateML. This is an opportunity to drive key machine learning initiatives across domains and design, build and maintain the next generation of machine learning frameworks at Apple.
Montreal hiring vision researchers/engineers (DL/ML)
Jumio
Market leader in rapidly growing identity verification space (not a startup). Our customers include Airbnb, car2go... Hiring vision researchers and engineers for our new Montreal AI Lab. We build high-impact models using very large datasets.
Huge opportunity if you would like to work in Montreal. We are an equal opportunity employer and regularly hire internationally (Canadian citizenship not required).
Contact me if you’d like to hear more at NeurIPS and we can meet up. Thanks.
Andy Hess
andy.hess@jumio.com
AI Team Lead Montreal.
Link:
jumio.com
Reinforcement Learning Scientist
Blue River Technology
Position Description
We are seeking a highly skilled Reinforcement Learning Scientist to join our world-class research and engineering team. They will focus on bringing cutting edge research out of academia and into working demo and production prototype systems. We are seeking a Reinforcement Learning Scientist to join an exciting new program that sits at the intersection of agriculture, machine learning, and robotics. Details are confidential but, similar to Blue River’s existing See & Spray product, this program has tremendous potential to help farmers, to shape global farming practices, and to have a major impact on one of America’s most iconic brands.
Responsibilities
Work on developing the fundamentals of machine learning applied to control systems on hardware
Execution:
- Responsible for advancing the state of the art in learning based control systems
- Rapidly explore many different methods to weigh pros and cons
- Identify the best tools for the task and apply those techniques
- Implement new methods and advance the state of the art
- Digest papers, conference proceedings, books, classes for new methods
- Create plans and schedules, track progress and provide educational material and frameworks to fellow engineers and product managers
Coordination:
- Work closely with Engineering/Product Managers to develop paths for meaningful research direction
- Excellent brainstorming, creative thinking, mathematical analysis, and communication skills
- Desire to teach others
Qualifications
- Strong skills in Python, C++, Tensorflow, PyTorch, Bullet, Linux
- Creative problem solving, Systems thinking
- Up to date on current research papers in machine learning
- Deep Learning, Reinforcement Learning, Math, Classical Controls
- Extra: Experience with Hardware
Link:
http://careers.bluerivertechnology.com/
Machine Learning Engineer
Blue River Technology
Position Description
We are looking for a highly skilled and energetic person to play a key role in improving and
supporting our revolutionary robotic and vision-based systems for agriculture. You will be joining a world-class research and engineering team to provide critical skills in improving existing systems and pushing the boundaries of this technology. We provide a high degree of autonomy - you will have the opportunity to influence the development and implementation of our world changing products. The role will include work in the following areas:
- Implementing deep-learning-based classification systems for identifying, characterizing, and
classifying plants
- Exploring and developing new methods for improving detection performance and increasing the speed of processing
- Working with internal customers to develop machine learning pipelines for computer vision based classification tasks
- Helping to architect and develop the data pipeline and platform supporting machine learning
The position will be based at our company headquarters in Sunnyvale, CA, and will require occasional travel to the Midwest.
Requirements
- M.Sc. or Ph.D. in Computer Vision or Machine Learning
- 5+ years developing algorithms and solving problems in computer vision and machine learning
- 3+ years in developing machine learning systems, with extensive experience on deep learning systems
- Advanced proficiency in C++, Python, or related tools and system SW architecture
- Attention to detail and ability to work independently
- Excellent communication and teaming skills
• Passion to solve difficult problems
Link:
http://careers.bluerivertechnology.com/
ML education content currator
Blue River Technology
Position description:
Build relationships with computer science departments at universities. To do this effectively we need to engage the students with educational content and information about Blue River / John Deere. This deep engagement and bringing high quality information to the students allows them to see the challenges they could be working on and the engineers they would be working with. Ultimately good engagements with universities will lead to better candidates, and this role will help facilitate candidates coming into the recruiting funnel.
Build educational content. Help curate educational content around machine learning, computer science, and robotics from external sources and internal sources to help engineers solve some of their hardest problems.
This program has tremendous potential to help build teams to shape global farming practices, and to have a major impact on one of America’s most iconic brands.
Responsibilities:
Leadership:
- Build/manage relationships with computer science departments at universities
- Build a vision and program for how computer science education should be delivered most effectively
- Help build a community where people engage with educational materials
- Facilitate technical mentorship opportunities and introduce engineers to new resources
Execution:
- Responsible for taking ownership of professional development materials
- Responsible for making connections within schools and setting up visits of presentations and lectures
- Curate, distribute, track educational materials
Coordination:
- Work closely with engineers to develop educational content that can be spread company wide
- Facilitate transfer of knowledge programs between platforms
Link:
http://careers.bluerivertechnology.com/
Research Engineer
Spherical Defence
Spherical Defence is an emerging cyber-security startup with AI at its core. Our research team works on several state-of-the-art technologies in the spaces of unsupervised learning models for structured data, time series analysis, and genetic algorithms.
If you are interested in researching or working with these kinds of technologies in production, we would love to hear from you. Check out our online job postings at https://sphericaldefence.com/jobs/ to apply.
Link:
https://sphericaldefence.com/jobs/
Principal R&D software developer in NLP
Oracle
This is a position for a Software Developer within the Oracle Social Cloud group in the heart of Boulder, Colorado. We work on the challenging parts of social media and big data processing. Since we are part of Oracle, a large company with global reach, we have the resources to fund this exciting work.
Link:
https://oracle.taleo.net/careersection/2/jobdetail.ftl?job=1800158B&lang=en&sns_id=mailto#.W6LDkRdGaRo.mailto
Machine Learning Researcher / Data Scientist
G-Research
G-Research is a leading quantitative research and technology company based in London, U.K.
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
You willl use cutting edge machine learning methods drawn from diverse areas such as neural networks and deep learning; non-convex optimisation; Bayesian non-parametrics and approximate inference.
Working on a number of small number of projects concurrently, you will extend classical methods and develop entirely novel ideas; read the latest publications in the field for discussion within the firm’s research community, and attend the leading conferences worldwide.
This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination!
Machine Learning Engineer - System or Algorithm
Twitter
Building ML System & Algorithm to optimize the ads ranking performance for Twitter.
Openings for both full-time and intern
Machine Learning Engineers & Research Scientists
Insite AI
Want to live in New Zealand?
- Dream lifestyle and excellent work culture.
- Leading AI startup in New Zealand and Australia.
- Home to multiple AI PhDs (ex Google, Facebook, Amazon, etc.).
Why they’re coming here:
- Newer company; you get lead, make real impact, and be recognized for it.
- Apply truly cutting edge AI & ML to genuine problems.
- Strong partners, global customers, university collaborations, and funding.
Highlights:
- Will sponsor visa.
- Competitive pay.
- Opening Los Angeles office, your alternate option.
* Roles Available *
ML & AI Engineers, Research Scientists, Data Scientists.
* Experience in one of: *
Reinforcement learning, representation theory, generative adversarial networks, deep learning, NLP, CV. Also Tensorflow, PyTorch, Pyro.
Simply register your interest or send a 1 sentence email to shaveer@goat.ventures or shaveer@insite.ai
Link:
www.insite.ai
Ph.D. and postdoc positions at the University of Pennsylvania
University of Pennsylvania
Prof. Paris Perdikaris is looking for Ph.D. students and post-docs motivated to work on:
• Research on probabilistic machine learning/deep learning including generative models, physics-informed priors, inverse problems and model discovery, Bayesian optimization, multi-fidelity modeling and uncertainty quantification in complex multi-scale systems.
• Diverse applications in engineering and medicine including design optimization, materials discovery, medical imaging, discovery of predictive biomarkers, and multi-scale modeling of the cardiovascular system.
Vibrant, creative and collaborative workplace in a great location (Philadelphia, PA). Initial post-doc appointments are for 1 year with possible extension up to 3 years. Start date anytime in 2019 is negotiable.
Send your CV and references to pgp@seas.upenn.edu
Data Scientist @ Amazon Forecasting
Amazon
Amazon demand forecasting team seeks a data scientist.
Please see the attached link and email resumes to the given address.
Link:
https://www.amazon.jobs/en/jobs/706360/data-scientist-demand-forecasting
User Portrait
NetEase Fuxi AI Lab
We extract profiles from player behavior data to help make better data-driven decisions and provide players personalized service.
Job Descriptions
You could analyze and segment players based on thousands of features (e.g. engagement, game play patterns, social behavior, consumption preference, etc.) to investigate what types of players we have, what are the characteristics of them, and identify the key needs from each different user group.
With user persona, you are able to provide players personalized service and quickly detect cheaters and bots.
Qualification requirements
It would be helpful if you could have a doctor or a master degree of top universities, major in AI related subjects (e.g. image recognition and generation, natural language processing, speech synthesis, music generation, reinforcement learning, user portraits, and recommendation systems).
We hope that you have extensive gaming experience, love artificial intelligence, and have experience in deep learning academic or engineering projects.
You have to be proficient in at least one programming language, including but not limited to Python, Java, C/C++, C#, etc. You should be familiar with mainstream deep learning frameworks such as TensorFlow, mxnet, caffe, theano, keras, pytorch, etc.
We also hope that you are dedicated, strive for perfection, rich in exploring spirit and be able to think deeply.
It would be nice if you had any paper published in artificial intelligence conferences or journals. It would be better if your paper was published in top conference journals.
Link:
Fuxi.163.com
Natural Language Processing
NetEase Fuxi AI Lab
We are investigating the future of human-computer interaction and the feasibility of NPC chatbots and speech-controlled games.
Job Descriptions
You could use NLP technology and carefully designed text corpuses to train chatbots. These chatbots not only are able to communicate with our players, but also have different personalities.
By doing this, you can create a more realistic and immersive gaming experience for our players, and allow them to explore hidden content and guide future episode with their own natural languages with us.
Qualification requirements
It would be helpful if you could have a doctor or a master degree of top universities, major in AI related subjects (e.g. image recognition and generation, natural language processing, speech synthesis, music generation, reinforcement learning, user portraits, and recommendation systems).
We hope that you have extensive gaming experience, love artificial intelligence, and have experience in deep learning academic or engineering projects.
You have to be proficient in at least one programming language, including but not limited to Python, Java, C/C++, C#, etc. You should be familiar with mainstream deep learning frameworks such as TensorFlow, mxnet, caffe, theano, keras, pytorch, etc.
We also hope that you are dedicated, strive for perfection, rich in exploring spirit and be able to think deeply.
It would be nice if you had any paper published in artificial intelligence conferences or journals. It would be better if your paper was published in top conference journals.
Link:
fuxi.163.com
Computer Vision & Graphics
NetEase Fuxi AI Lab
We are working on developing motion sensing games on mobile platform, automatic skinning plugin, and real-time motion & facial expression transfer.
Job Descriptions
In Netease Fuxi Lab, we focus on avatar animation using facial and skeleton tracking techniques with a simple video camera instead of a professional depth camera (e.g. Kinect sensor).
These techniques allow us to capture human facial expressions and poses, reconstruct and display them in a virtual scene.
We are also exploring how to use these technologies to help artists and designers to improve their productivity.
Qualification requirements
It would be helpful if you could have a doctor or a master degree of top universities, major in AI related subjects (e.g. image recognition and generation, natural language processing, speech synthesis, music generation, reinforcement learning, user portraits, and recommendation systems).
We hope that you have extensive gaming experience, love artificial intelligence, and have experience in deep learning academic or engineering projects.
You have to be proficient in at least one programming language, including but not limited to Python, Java, C/C++, C#, etc. You should be familiar with mainstream deep learning frameworks such as TensorFlow, mxnet, caffe, theano, keras, pytorch, etc.
We also hope that you are dedicated, strive for perfection, rich in exploring spirit and be able to think deeply.
It would be nice if you had any paper published in artificial intelligence conferences or journals. It would be better if your paper was published in top conference journals.
Link:
fuxi.163.com
Virtual Human
NetEase Fuxi AI Lab
We are shaping virtual human, an AI system which is able to do real-time face-to-face communication with human through verbal languages, facial expression, eye contact and gesture.
Job Descriptions
Virtual human is an AI system which is able to do real-time face-to-face communication with human through verbal languages, facial expression, eye contact and gesture. It can express its intension and emotion like a human, as well as understand user’s language, behavior and emotion.
The research of virtual human includes multimodal computing and interaction, computer vision & graphics, image processing, natural language processing, speech recognition & synthesis, reinforcement learning, human-computer interaction and social psychology.
Link:
fuxi.163.com
Research Scientist @ Amazon Forecasting
Amazon
Amazon demand forecasting team is seeking a full time Research Scientist or Applied Scientist. Expertise in DL/ML. PhD in relevant discipline.
This is an example of the kind of work we do: https://arxiv.org/abs/1711.11053
Please send resumes and inquiries to the given email address.
Speech Synthesis & Music Composition
NetEase Fuxi AI Lab
We plan to develop an AI system which automatically dub for cutscenes and NPC chitchats by using text-to-speech technology. We are also interested in compositing personalized music by AI.
Job Descriptions
If you get bored listening to the same music again and again, let us show you how creative our AI could be.
As an intern, you could give AI audio materials you like, and you will be rewarded with a new-created music that only belong to yourself. Speech synthesis, on the other hand, allows NPCs directly talk to players with their own voices instead of robot-like verbal communication.
Link:
fuxi.163.com
Research in ML and AI
UnifyID
Research position in the following area:
Deep learning, tensor signal processing, optimization theory, motion sensor data analysis,passive authentication and identity, human behavior and mobile usage, time series analysis, data visualization, ethics and AI, and Journalism and AI.
Link:
UNIFY.ID/LABS
Principal Data Science Evangelist
BHGE
Role Summary:
We are looking for a highly motivated technical leader who is passionate about technology to join the BHGE Digital team. As Principal Data Science Evangelist, BHGE Digital, you will focus on driving and delivering impactful and innovative enterprise-grade analytics products for the O&G industry.
For information about Essential Responsibilities, Qualifications/Requirements & Desired Characteristics, please see the link above.
Link:
https://jobs.gecareers.com/ShowJob/Id/33923/Principal-Data-Science-Evangelist/
Director - Software Engineering
BHGE
Role Summary:
The Director, Software Development is responsible for the overall software development of multiple products, product areas, or platforms. S/he will be responsible for coordinating with various development teams (engineering & test) across the globe, for a timely delivery of the software that constitute the overall product area.
For information about Essential Responsibilities, Qualifications/Requirements & Desired Characteristics, please see the link above.
Link:
https://jobs.gecareers.com/ShowJob/Id/63701/Director-Software-Engineering/
Staff Analytics Software Delivery Engineer
BHGE
Role Summary:
The Staff Analytics Software Delivery Engineer will be responsible for delivering new, commercially re-usable analytics solutions (Analytic Blueprint Packages) to drive growth in asset, application and industry coverage supportable product support teams (Software As A Service model). You will leverage standard suite of platform and core module analytics & algorithms, software application capabilities, strong engineering & analytics backgrounds.
For information about Essential Responsibilities, Qualifications/Requirements & Desired Characteristics, please see the link above
Link:
https://jobs.gecareers.com/ShowJob/Id/74120/Staff-Analytics-Software-Delivery-Engineer/
Javascript / Python hacker
CSV Studio
Urgently needed: ML start-up working on an MVP is looking to hire a student willing to take on contract work and learn as they go, to develop an active learning interface.
Email your CV to info@csvstudio.com
Link:
Csvstudio.com
Data Scientist
Institute for Infocomm Research, A*STAR
#jobposting Institute for Infocomm Research, A*STAR is looking for Research Positions:
We are building a nimble, startup-like environment with the backing and resources of A*STAR, Singapore's national-level full-spectrum R&D organization.
We are seeking scientists, engineers, interns and students to expand our dynamic and multi-disciplinary team. Scholarships for Masters/Ph.D. students also available.
Specific research themes include multimodal data analytics on combinations of structured and unstructured data, predictive analytics on nonstationary time series data, online learning, continuous learning, optimization methodologies, active learning, transfer learning, reinforcement learning, unsupervised deep learning, domain knowledge integration for interpretable ML/DL.
All positions entail working in large multi-disciplinary machine learning and deep learning teams in close collaboration with academic and industry partners.
Strong data science, visualization, and programming abilities required. Candidates with strong theoretical research foundation and/or keen translational research interests are encouraged to apply. Please contact ramasamysa@i2r.a-star.edu.sg.
Research Scientist - Fulltime/Internship
AITRICS
AITRICS is a fundamental research-oriented group that wants to advance the state-of-the-art in AI. Therefore, we encourage our researchers to develop open solutions based on their own interests.
AITRICS publication status ('17 & '18)
ICML ('17 & '18) : 7
NeurIPS'18 : 7
AAAI'18 : 2
ICLR'18 : 1
Individuals in this role are expected to be recognized experts in identified research areas such as machine learning and artificial intelligence.
We would like you to join us
If you are passionate about
• Fundamental research in machine learning
• Publishing in the toptier conferences/journals
• Architecting, designing and implementing AI solutions
• Solving real-world complex problems and possibly saving millions of lives
If you have
• M.S or Ph.D in computer science or related quantitative field.
• Publishing papers at ML conferences or related fields
• Relevant experience to the position such as post doctoral roles
• Highly energetic self-motivated mindset
*** Competitive salary applies ***
Link:
www.aitrics.com
Software Engineer - Machine Learning and Analytics
Boeing
Insitu is a wholly owned subsidiary of The Boeing Company. Insitu is looking for innovative, talented and customer focused Software Engineer to join the team developing cutting edge machine learning algorithms and tools that will support the growth and sustainment Insitu.
The ideal candidate will be a proactive leader, diligent team player from a software development background with the ability to work seamlessly across multiple teams and functions in Insitu, interfacing with talented developers, technologists and engineers who possess a diverse set of skills ranging from academic research through to product development.
Insitu is a leading high-tech autonomous systems company driven by a culture of agility and systematic improvement. Since 1994 Insitu has led in the design, development and production of small autonomous aircraft for Unmanned Aircraft Systems (UAS). We currently produce and sell an ever growing fleet of Unmanned Aircraft Systems that are low-cost, long-endurance, and have low personnel requirements. These UASs provide a no-runway launch, unprecedented stabilized day and night video for ISR, robotic flight control, and a no-nets capture.
As we continue our rapid growth in the UAS/UAV market we are looking for experienced talent to help us achieve our goal of maintaining the agile and innovative problem-solving capabilities in all the products we offer.
Link:
http://j.rfer.us/BOEit9xQ8
Data Scientist
Clover Health
Clover Health is a San Francisco data-backed health insurance startup using machine learning to prevent hospital readmissions and help clinicians diagnose and improve care for chronic conditions. Please contact me if you’re interested!
Link:
http://wwww.cloverhealth.com
Machine learning researcher - computer vision / biology
Phenomic AI
Phenomic AI is a spin out from the UofT ML group focused on developing ML tools for drug discovery and using those tools for internal experimental drug development.
Please find us at the medical imaging workshop!
Link:
https://phenomic.ai
Machine Learning Research/Engineering Intern
Georgian Partners - Impact Team
The R&D team at Georgian Partners is looking for machine learning/NLP research interns to join our team. You will work with start-ups, and apply the latest research in deep learning, differential privacy, and natural language processing to products in industries such as healthcare, energy, cybersecurity, and education. Our team is actively working on filling the gaps between academic literature and real-world challenges by solving the most impactful research problems and publishing the work in top-tier conferences.
Please feel free to reach out and send your resume to kchristie@georgianpartners.com
Please apply https://gp.applytojob.com/apply/ZgcfImLMkX/Machine-Learning-ResearchEngineering-Intern-4-Months
www.gerogianpartners.com
Link:
ly/ZgcfImLMkX/Machine-Learning-ResearchEngineering-Intern-4-Months
Post-docs in ML for Medical Imaging
Imperial College London
5x post-doc position @ BioMedIA, Imperial College London, UK
flexible topics around medical image analysis and AI4Healthcare
£40-50k/year plus benefits and travel budget
PhD applications also welcome
Contact: dr@ic.ac.uk bglocker@ic.ac.uk bkainz@ic.ac.uk
Link:
http://biomedia.doc.ic.ac.uk
PhD researcher - data-efficient ML
Ghent University
data-efficient ML, GP, surrogate modeling, BO, AI-driven engineering
1 year post-doc position
Hubert Curien laboratory
A postdoc position related to multview/source learning is available in the ML/Data Intelligence team of the University of Saint-Etienne.
Research topics of interest include but are not limited to:
-theoretical frameworks,
-representation learning approaches,
-deep learning approaches,
-transfer learning,
-optimal transport,
-development of new algorithmic approaches,
-dealing missing views.
More information on the associated page Web.
Contact us if interested .
Send applications to {amaury.habrard,emilie.morvant,ievgen.redko}@univ-st-etienne.fr
Data Platform Engineer, Machine Learning
Clover Health
Come build the underlying platform and infrastructure that powers Machine Learning at Clover Health, a data-backed health insurance startup using machine learning to prevent hospital read missions and help clinicians diagnose and treat diseases. Especially apply if you’ve built a machine learning platform before.
Link:
http://www.cloverhealth.com
DL jobs Montreal
jumio.com
Last day at NeurIPS to meet in person and chat. It’s been a long week but I’m still excited to tell you about the AI team we’re building up in Montreal. We do computer vision, some NLP and lots of other ML. Let’s meet today tonight and chat - send me a message.
Market leader in rapidly growing identity verification space (not a startup). Our customers include Airbnb, car2go... Hiring vision researchers and engineers for our new Montreal AI Lab. We build high-impact models using very large datasets.
Huge opportunity if you would like to work in Montreal. We are an equal opportunity employer and regularly hire internationally (Canadian citizenship not required).
Contact me if you’d like to hear more at NeurIPS and we can meet up. Thanks.
Andy Hess
andy.hess@jumio.com
AI Team Lead Montreal..
Link:
jumio.com
Postdoctoral scholar
UCLA Departments of Radiology, Pathology, and Bioengineering
We are hiring for several positions in machine learning for medical image analysis. We work closely with clinical collaborators and have large datasets from radiology and histology covering a spectrum of diseases.
If interested, please send your CV to Corey Arnold at cwarnold@ucla.edu.
Optimization/Statistics Scientist
Noah's Ark Research Lab of Huawei
Noah's Ark Lab Montreal is recruiting a Mathematician / Optimization Scientist / Statistician in our growing Machine Learning team.
RESPONSIBILITIES
This person will conduct fundamental research, to advance state-of-the-art in related fields, to collaboratively develop advanced products and services with other groups in the company.
QUALIFICATIONS
Hold a Ph.D. in computer science, mathematics statistics or a related subject;
Have a proven record of research and publishing (post-doctoral research an asset);
Some experience coding in Python (proficiency with Deep Learning libraries such as TensorFlow or Pytorch is a definite benefit);
2+ years of academic or corporate experience;
Ability to work independently as well as collaboratively.
Link:
http://chj.tbe.taleo.net/chj04/ats/careers/requisition.jsp?org=HUAWEICA&cws=1&rid=1243
Deep Learning Scientist to collaborate with MILA
Noah's Ark Research Lab of Huawei
Noah's Ark Lab Montreal seeks a Deep Learning Scientist in our growing Machine Learning team to push edge computation of deep learning in collaboration with MILA.
RESPONSIBILITIES
The scientist will conduct applied research, to advance state-of-the-art in related fields, to collaboratively develop advanced products and services with other groups in the company.
QUALIFICATIONS
Hold a Ph.D. in computer science or a related subject;
Have a proven record of research and publishing;
Experience programming in Python and Deep Learning libraries such as TensorFlow or Pytorch;
2+ years of academic or corporate experience;
Ability to work independently as well as collaboratively.
Link:
http://chj.tbe.taleo.net/chj04/ats/careers/requisition.jsp?org=HUAWEICA&cws=1&rid=1245
Hardware Scientist
Noah's Ark Research Lab of Huawei
The scientist will conduct fundamental and applied research to advance state-of-the-art in the crossroad hardware engineering and neural networks to collaboratively develop advanced products and services with other groups in the company.
Qualifications
Hold a PhD in computer engineering, electrical engineering, electronic engineering, hardware optimization, or a related subject;
Have a proven record of research and academic publication;
Exposure to computer vision, speech recognition, or machine translation;
Experience with deployment of neural network model on hardware using C++;
Some experience coding with Python (proficiency with Deep Learning libraries such as TensorFlow or Pytorch is a definite benefit);
2+ years of academic or corporate experience;
Ability to work independently as well as collaboratively.
Link:
http://chj.tbe.taleo.net/chj04/ats/careers/requisition.jsp?org=HUAWEICA&cws=1&rid=1244
Data Scientists and Senior Data Scientists
Streetbees
Streetbees is building the world's real-time intelligence platform. We connect our clients with representative data on the behaviours and opinions of their customers, provided by our users (or 'bees') around the world.
Using the Streetbees app, we broadcast our clients' requests to our over 1M 'bees' on the ground. Within hours, our bees return data through their smartphones to us and we use the data science pipelines we develop to surface the trends and patterns in what is being said or done via visualisations delivered to our clients via dashboards.
We're growing our Data Science team to research, prototype and productionalise our analytical products across our broad client base - we already work with most of the top 10 biggest consumer brands in the world.
This is an opportunity to be part of a hugely talented team applying the latest research in ML, particularly in ML-based NLP, NLU, and graph networks.
You will be instrumental in helping to shape what Streetbees becomes over time, working alongside our Engineers, Product and Business teams to delicer breakthrough capabilities snd products.
Link:
streetbees.workable.com/j/8888AE8BD1
3D Generative Model Researcher
Angle Technologies
Angle is a Series A funded startup building a game engine where players can directly edit the world at runtime. We’re using deep learning (GANs, VAEs, etc) to make it easier for players to create novel 3D content that looks good and is immediately usable. We’re looking for a world-class researcher to join us in making breakthroughs with generative models in games.
Link:
www.angle-tech.com
Hearing Aid Machine Learning Engineer
Whisper.ai
Whisper uses deep learning in hearing aids to amplify only the voices and sounds of interest.
We are looking for engineers and researchers passionate about helping people hear again.
Join a team funded by Tier 1 investors with working prototypes, preorders, and deep technical breadth and depth shipping machine learning and electronics systems used by millions.
NLP/Deep Learning Scientist
Montreal Research Centre, Huawei
The scientist will conduct fundamental and applied research to advance state-of-the-art in neural machine translation, multi-modal learning, or speech and collaboratively develop advanced products and services with other groups in the company.
Qualifications
Hold a PhD in computer science, electrical engineering, computer engineering or related fields;
Have a proven record of research and academic publication;
Exposure to computer vision, speech recognition, or machine translation;
Experience coding with Python (proficiency with Deep Learning libraries such as TensorFlow or Pytorch);
2+ years of academic or corporate experiences,
Ability to work independently as well as collaboratively.
Machine Learning Engineer (full time / intern)
TheTake.ai
About the Role
You’ll help study and build new machine learning models, and maintain our existing machine learning infrastructure. You will work closely with others in the company, including backend and product to assist in integrating your work with our client-facing products. For applicable work, you will be responsible for producing technical reports in the form of patent applications and/or research papers. You will proactively inform our overall AI product roadmap and serve as a valuable member of the team at large.
Key Responsibilities
Train custom models and evaluate model performance to improve the performance of our current product.
Take cutting edge machine learning research and develop new products.
Help the team integrate production-ready models.
Help build and maintain our research and back-end ML infrastructure.
Conduct novel research and produce technical reports when applicable.
Bridge the gap between research and product.
ML Lead scientist- DL and NLP - BNP Paribas Innovation Lab
BNP Paribas
Description:
- Join a growing team of Machine learning experts and software developers to improve client intelligence, operation efficiency and risk perception with AI in BNP Paribas Americas.
- Lead researcher on NLP techniques
o Apply academic and research papers on internal projects and propose enhancements
o Connect with AI Labs across the group
o Partner with Universities (research proposals, ..)
- Design prototypes and deliver large scale projects across the bank activities:
o Risk, Payments, AML, Operations, Data quality, Client coverage involving a variety of data sources.
Qualifications:
- PhD in Computational Linguistics, Computer Science, or related field preferred. Master’s degree with 2+ years of relevant experience
- Excellent programming experience in major analytics programming language (Python, Java, C#, C++, …).
- Experience with statistical data analysis, experimental design, and hypotheses validation
- Knowledge of probabilistic models and strong understanding of the mathematical concepts underlying machine learning methods
- Project-based experience with some of the following:
o Applied machine learning (e.g. Scikit-learn or similar)
o Natural Language Processing (e.g. SpaCy, NLTK, OpenNLP, or similar)
o Statistical data analysis and experimental design (e.g., using Python, R, etc.)
o Databases (traditional and noSQL)
o Distributed computing platforms, such as Hadoop and Spark
o GPU accelerated training
- Results-driven focus with the ability to prioritize deliverables that have the most significant, measurable impact
- Lifelong learner, passionate about turning new ideas into solutions
- Very strong work ethic and ability to deal with confidential information
- Excellent verbal and written communication skills and proficiency to interact professionally
Preferred qualification: Published relevant research
Link:
http://bit.ly/2rswPts
Data Scientist/Researcher
Spacemaker AI
As a data scientist at Spacemaker you will take part in developing the core of our game changing Hybrid AI technology. Our long term ambition is to change the construction industry through AI - so going forward our Hybrid AI Engine will be exploited in numerous other applications, such as hospitals, hotels, infrastructure, etc.
The high complexity of early-phase site development requires a multi-disciplinary approach using a hierarchy of methods such as machine learning, computational geometry, stochastic modeling, and optimization.
Breaking high-performance site development into its key quality components requires data scientists in Spacemaker to not only be exceptional in mathematics and programming, but also to be creative, pragmatic and able to apply theoretical knowledge to real life problems. Some of these qualities are highly quantifiable; e.g. site utilization, noise and sun, which can be efficiently quantified using tools from mathematics and physics. Other qualities are more qualitative. What are the characteristics of a beautiful balcony view and how do you work to improve it for a specific project? Why do humans find certain spaces attractive and what do you do to maximize this attractiveness? For the more subjective aspects of quality, we are constantly exploring new and innovative ways to gain insight into how these aspects can be measured and optimized to improve value creation in real estate projects.
As the problems we solve are very complex, we seek people with diverse backgrounds and experience; you could be a physicist, mathematician, programmer, or something completely different.
Spacemaker is already experiencing an intense, global demand for our services, and are looking for truly talented people to join us.
Link:
https://spacemaker.ai/career/
Computer Vision Engineer | Intern
HyBird
HyBird is evolving the way extreme environments are operated within, and have a particular focus on industrial inspections in sectors such as oil, gas, nuclear, wastewater, and offshore platforms. We’re a spin-out from University College London (UCL), and are delivering a full-stack solution to asset owners and operators. The technical team is multi-disciplinary, with backgrounds in mechanical engineering, electrical and electronics engineering, firmware and embedded software engineering, full-stack developers, and more. We’re working on robust drones capable of autonomous inspections in extreme environments.
At HyBird, we’re looking for people who bring together an understanding of the relevant theory, strong programming skills, and an ability to test and develop working solutions.
What you'll do:
- Design and implement real-time estimation, mapping, tracking, classification, and detection algorithms
- Quantify and characterise the performance of the vision system
- Explore and implement new features, and research and prototype new approaches
- Be a generalist helping out on all aspects of the software when needed
Useful skills:
- Most important ability is to make the mathematics, algorithms, and code work as intended in reality
- Hands-on experience with ideally both visual and LiDAR odometry, mapping and SLAM
- Optimisation for computationally constrained environments
- Excellent software engineering foundation and a commitment to writing clean, well architected, and documented code
- Proficiency in probabilistic inference and 3D geometry
- Deep Learning, including training data, online learning and neural networks
- Strong command of C++
- Ability to thrive in a fast paced, collaborative, small team environment
Job Types: Full-time, Permanent or Internship
Salary: £40,000.00 to £70,000.00 /year
Education:
Master's (Required)
Location:
London (Preferred)
Data Scientist Machine Learning
Booking.com
(see link for full description)
Using billions of data points, Booking.com’s Tel Aviv machine learning center combines data science and product development to create smart, personalised and frictionless experiences for our customers.
Would you like to translate terabytes of data into unforgettable holidays for millions of people around the globe? We are looking for rock star Data Scientists!
This group of experts works on all parts of the business: ranking and personalized recommendations, fraud prediction, return prediction in marketing, image understanding, machine translation, and voice and dialogue systems.
B.responsible
- Work in a multi-disciplined team where you take ownership of the modelling part of turning data into customer experience improvements
- Use the autonomy teams have and test hypotheses early and often on suitable parts of our traffic
B.skilled – Required
- Minimum 4 years of relevant work experience
- Masters, PhD, or equivalent experience in a quantitative field (Computer
Science, Mathematics, Engineering, Artificial Intelligence, etc.)
- An all-around data scientist: strong stats background, experience in algorithm programming, experimentation, data visualization, ML, optimization and big data
- Experience with at least one scripting (e.g. R, Octave) + one programming language (e.g. Python, Perl, C/C++, Java)
- Exposure to SQL and relational databases
- Being able to train elementary ML models, select the right tool/task, judge when a model is good enough for a particular purpose
- Excellent communication skills
B.skilled – Preferred
- Experience implementing a real-world Recommender or Ranking system
- Worked with the Hadoop Ecosystem
- Implemented multi-core/distributed software
- Prior practical experience with elementary ML models (eg. logistic regression, RF) + experience with one of the following: (Deep) Neural Nets, NLP Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design, LDA
Link:
https://goo.gl/8bLfW5
Postdoctoral researcher positions
University of Southern California
The machine learning and artificial intelligence lab at the University of Southern California (USC), led by Prof. Fei Sha (http://www-bcf.usc.edu/~feisha) has multiple open positions for postdoctoral researchers. We seek applicants from all areas of machine learning and artificial intelligence (with a focus on computer vision, natural language processing and other emerging applications). For a partial list of recent work, please check our arxiv listing at https://arxiv.org/a/sha_f_1.html
The candidates must hold a PhD in computer science, statistics or a closely related discipline, and have a strong publication record in the very top conferences and journals in the areas of machine learning and artificial intelligence. The expected start date is Feb and March, but is also flexible.
The postdoctoral researcher is to interact and collaborate closely with both the faculty member and graduate students in the lab, which consists of about 10+ students (PhD, M.Sc. and undergraduates) and postdocs. While the lab has a rich set of ongoing research projects, the postdoctoral researchers are also encouraged to be independent and develop his/her own research agenda that complements existing research endeavors. The quality of the research is the ultimate criterion.
The lab is an integral part to the Computer Science Department at USC. The CS department is rapidly growing with core strengths in machine learning and artificial intelligence. For a list of faculty members and their research interests, please see https://www.cs.usc.edu/ . USC has also established a machine learning center: http://mascle.usc.edu/ , engaging many faculty members and students broadly from other departments including mathematics, statistics, electrical engineering, industrial system and engineering.
Interested candidates should email Fei Sha (feisha at usc.edu) with their CVs, one-page research statements and a list of reference letter writers.
Link:
None
Computer Vision Engineer C++ (SLAM/LOAM)
Hybird
HyBird is evolving the way extreme environments are operated within, and have a particular focus on industrial inspections in sectors such as oil, gas, nuclear, wastewater, and offshore platforms. We’re a spin-out from University College London (UCL), and are delivering a full-stack solution to asset owners and operators. The technical team is multi-disciplinary, with backgrounds in mechanical engineering, electrical and electronics engineering, firmware and embedded software engineering, full-stack developers, and more. We’re working on robust drones capable of autonomous inspections in extreme environments.
At HyBird, we’re looking for people who bring together an understanding of the relevant theory, strong programming skills, and an ability to test and develop working solutions.
What you'll do:
- Design and implement real-time estimation, mapping, tracking, classification, and detection algorithms
- Quantify and characterise the performance of the vision system
- Explore and implement new features, and research and prototype new approaches
- Be a generalist helping out on all aspects of the software when needed
Required skills:
- Strong command of C++
- Hands-on experience with ideally both visual and LiDAR odometry, mapping and SLAM
- Optimisation for computationally constrained environments
- Excellent software engineering foundation and a commitment to writing clean, well architected, and documented code
- Proficiency in probabilistic inference and 3D geometry
- Deep Learning, including training data, online learning and neural networks
- Ability to thrive in a fast paced, collaborative, small team environment
Job Types: Full-time, Permanent
Salary: £60,000 to £70,000 /year
Location: London (Preferred)
Link:
None
Research Scientist (Machine Learning)
Institute for Disease Modeling (IDM)
We seek a full time Research Scientist (PhD) to work as part of the IDM research team and collaborate on the adaptation of machine learning methods to the problem of calibrating infectious disease transmission models to pathogen genomic and epidemiological data, with immediate applications to seasonal influenza, RSV and polio.
Women and other minorities are encouraged to apply.
Link:
www.idmod.org/careers
Staff Machine Learning Engineer, Search Sciences
Course Hero
As o e of the key members on the Demand Intelligence team that is part of the AI group, you’ll take ownership of the design and implementation of Course Hero’s consumer facing search.
The key objective of the AI group is to build a Semantic Knowledge Graph at CourseHero in order to help personalize bespoke learning experiences for students and help educators create unique course content.
Link:
https://grnh.se/a774df021
Senior Technical Program Manager, Artificial Intelligence
Course Hero
Course Hero is looking for a Senior Technical Program Manager (TPM) to ensure the health of all programs within the AI Group. You will track all programs and teams within AI and collaborate with all functional teams at Course Hero. You will create and maintain key tenets of our AI programs: alignment to Course Hero goals, the stability of AI programs, harmony across projects and evangelizing support across Course Hero as an organization. Success for this role will focus on program efficiency, impact on all engineering teams, stakeholder satisfaction, business and commercial success, and cost-benefit across AI group.
This is a senior leadership role with high visibility and over time will require matrix management across 4 teams namely Applied Machine Learning, Demand Intelligence, AI Platform and AI Research. The role eventually grows into a Group TPM with hiring responsibilities for TPMs assigned to internal goals.
Link:
https://grnh.se/bab15c961
Machine Learning Research Scientist
Pfizer R&D
The Machine Learning (ML) group at Pfizer R&D seeks exceptional research scientists interested in developing methods in the areas of probabilistic models, deep learning, and reinforcement learning for application to a number of challenging problems in drug discovery.
PhD in Computer Science or related technical field required.
Link:
https://www.linkedin.com/jobs/view/1117668378
