MLOps Engineer
Walmart
Looking for an opportunity with Fortune No. 1 to take ML models from prototype into production? We are looking for MLOps Engineer who embrace ML techniques, DevOps and cloud, to drive home the value of ML.
>> What we do
We are part of the data analytics organization for people analytics and all employee facing technologies. The ML Engineering team is responsible for the DevOps of ML products.
>> What we really do
Admire the perfect architecture we designed that tackles both scalability and stability challenges;
Realize it takes more than a pickle file to productionize ML models;
Bang our heads against wall for Azure/GCP deployment issues;
Celebrate after solving above issues over triple-shot espresso;
[Repeat]
>> What you do
Lead the collaboration with research scientist and dev team;
Train and tune ML models for production;
Create and deploy containerized ML services on Azure/GCP;
Build DevOps pipelines to enable CI/CD;
Automate monitoring and re-training pipeline.
Both entry level and senior positions are available. Feel free to reach out to me for any questions.
Link:
https://careers.walmart.com//us/jobs/WD12018-senior-machine-learning-engineer-associate-digital-experience
Research Scientist
Epic Games
Epic Games is searching for experienced hands-on research scientists for our office in Pittsburgh. The ideal candidate will bring a passion for digital humans and experience with machine learning and animation tech.
Responsibilities:
• Research and implement novel methods for modeling, animating and capturing Digital Virtual Humans
• Develop and apply the latest ML algorithms to learn appearance, geometry, and parametric representations from high-quality training data
• Contribute new technology to the next generation of real-time graphics, media, and interactive entertainment
• Interact with the scientific community, publish at top tier locations, contribute domain knowledge and advice in support of R&D efforts
Qualifications:
• PhD in computer vision, computer graphics, speech, machine learning/AI, or closely related field
• Demonstrated publication history in highly ranked conferences and/or journals
• Strong implementation and programming skills
• Experience using and extending ML tools, e.g. PyTorch, TensorFlow
• In-depth knowledge in one or more of the following areas: real-time graphics, animation, simulation, performance-capture, 3D reconstruction, material/reflectance modeling, neural rendering
• Previous experience with face/body data-capture and processing a plus
About Epic:
For over 25 years, Epic Games has been making award-winning games and game engine technology that empowers others to make visually stunning games and 3D content that brings environments to life like never before. Epic’s award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Link:
https://epicgames.wd5.myworkdayjobs.com/en-US/Epic_Games/job/Remote-Pittsburgh-PA-US/Research-Scientist_R983-1
Postdoc at EPFL
EPFL
Applications are invited for one or two postdoctoral positions in the EPFL Machine Learning and Optimization Laboratory (https://mlo.epfl.ch) in Switzerland, headed by Prof. Martin Jaggi.
Please apply using the form linked.
**Description**
Candidates should have completed, or be near completion of, a PhD with a strong international publication record in areas such as (but not limited to) applied or theoretical machine learning, optimization, natural language processing, etc.
They will lead innovative research projects in a stimulating, open, and international research environment with a highly talented and motivated team, embedded in a strong network of academic and industrial collaborators. Other benefits include a competitive salary (around CHF 82,000 p.a.), a well funded national research system, an office next to a stunning lake and even more stunning mountains, and generous travel support.
Ability and motivation to co-lead applied (interdisciplinary) projects e.g. in collaboration with medicine, industry or other sciences is a plus, but not a requirement.
In case you will attend ICML 2019 in Long Beach, please contact Martin Jaggi to chat in person.
**Time frame**
The starting date is flexible, but an earlier start date is preferred.
**About EPFL**
EPFL ranks among the world’s top universities in computer science, and in machine learning in particular. It is located in Lausanne, Switzerland, a beautiful and vibrant city in an Alpine setting on the shores of scenic Lake Geneva, in the very heart of Europe. English is the main language spoken at EPFL, and Lausanne is highly international, such that no French language skills are required. EPFL is an equal opportunity employer.
Link:
https://forms.gle/z2v6R4PQ9yHagajt7
Postdoctoral Researcher
Texas A&M University
We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning, a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.
We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the candidate is expected to contribute to the field of machine learning methodology.
Candidates should email the application material directly to shahin@tamu.edu, including a detailed resume with a publications list, two representative papers, and the names and email addresses of at least three references.
In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
Postdoctoral researchers
University of Tokyo / Japan Digital Design
Learning Mathematical Informatics Lab at the University of Tokyo and MUFG AI Studio(M-AIS) seeks postdoctoral researchers in the areas of machine learning (deep learning and probabilistic models) and related fields.
You will collaborate with Taiji Suzuki, assistant professor at University of Tokyo.
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.
MUFG(Mitsubishi UFJ Financial Group) is a Japan based Global financial service group which includes MUFG Bank (the biggest bank in Japan).
As a researcher, you will be able to access large-scale financial transaction data and powerful computer systems including GPUs.
Link:
http://ibis.t.u-tokyo.ac.jp/suzuki/
Deep Learning Scientist
Plumerai
About Plumerai:
We believe autonomy and embedded intelligence will be the most impactful technologies in the next decade and the lack of an efficient deep learning platform is the main thing holding this future back. Binarized Neural Networks (BNNs) can result in a theoretical 1000x performance improvement and we believe this is the way forward. Our team is based in London and Warsaw, with a new office opening in Amsterdam. We are backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar chip and hardware companies.
Job Description:
We are looking for talented people to join our effort in enabling devices like robots and drones to use deep learning locally and in real time. We are researching new training algorithms for BNNs and are developing an open-source training library (Larq) to enable the academic community to do better research on BNNs. This work will enable the custom chip that we are designing to run BNN inference efficiently.
What You Will Be Doing:
- You will work with a smart team that is researching, inventing and implementing both new and known algorithms for training deep learning models that will be radically more efficient.
- You will contribute to the open source community and your work will result in academic publications.
- You will tackle hard problems that have not been solved before and this requires both theoretical creativity and technical intuition.
- You will develop theoretical guidance for BNNs and explore the behaviour of our models on a wide range of deep learning applications (e.g. object detection, depth estimation, SLAM, super-resolution).
- You will work in close collaboration with our chip design team to discuss the implications of your algorithms on their work. This is how we can collectively push our hardware to its maximal performance.
Link:
https://plumerai.workable.com/j/581DD6BB2C
Deep Learning Scientist
Plumerai
About Plumerai:
We believe autonomy and embedded intelligence will be the most impactful technologies in the next decade and the lack of an efficient deep learning platform is the main thing holding this future back. Binarized Neural Networks (BNNs) can result in a theoretical 1000x performance improvement and we believe this is the way forward. Our team is based in London and Warsaw, with a new office opening in Amsterdam. We are backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar chip and hardware companies.
Job Description:
We are looking for talented people to join our effort in enabling devices like robots and drones to use deep learning locally and in real time. We are researching new training algorithms for BNNs and are developing an open-source training library (Larq) to enable the academic community to do better research on BNNs. This work will enable the custom chip that we are designing to run BNN inference efficiently.
What You Will Be Doing:
- You will work with a smart team that is researching, inventing and implementing both new and known algorithms for training deep learning models that will be radically more efficient.
- You will contribute to the open source community and your work will result in academic publications.
- You will tackle hard problems that have not been solved before and this requires both theoretical creativity and technical intuition.
- You will develop theoretical guidance for BNNs and explore the behaviour of our models on a wide range of deep learning applications (e.g. object detection, depth estimation, SLAM, super-resolution).
- You will work in close collaboration with our chip design team to discuss the implications of your algorithms on their work. This is how we can collectively push our hardware to its maximal performance.
Link:
https://plumerai.workable.com/j/BF90B8A976
Research Scientist in Deep Learning
Philips
If you are looking to apply your knowledge and talent in DL with pride, to a field that impacts our lives positively, you may be interested in joining Philips Healthcare.
* Design and implement prototypes, and conduct their validation
* Interact with medical professionals
* Participate in the research community
* Work with Philips' labs and businesses around the world
Don't hesitate to ping me during the conference to chat if you are interested.
MLOps Engineer
Plumerai
About Plumerai:
We believe autonomy and embedded intelligence will be the most impactful technologies in the next decade and the lack of an efficient deep learning platform is the main thing holding this future back. Binarized Neural Networks (BNNs) can result in a theoretical 1000x performance improvement and we believe this is the way forward. Our team is based in London and Warsaw, with a new office opening in Amsterdam. We are backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar chip and hardware companies.
Job Description:
We are looking for someone to join us as our first DevOps Engineer. Our research team conducts cutting-edge deep learning research and we face many operational challenges (for example: running hundreds of experiments in the cloud, training large neural networks using multiple GPUs, preparing experiment results for analysis). Your job is to build and manage the digital infrastructure that enables our researchers to move from idea to result smoothly.
As we are a young startup, the role is dynamic and initiative is appreciated. Your work will interface with our researchers, our open-source training library Larq and our hardware team. We are looking for people who can grow along with Plumerai.
What You Will Be Doing:
- Manage our cloud infrastructure: enable our researchers to run experiments in the cloud.
- Setup environments and datasets as required by the research team.
- Manage Python code that executes deep learning experiments.
- Set up our hardware clusters.
- Take initiative to improve our setup, grow with the company and eventually build a DevOps team.
- Optimize multi-GPU training.
Link:
https://plumerai.workable.com/j/83C3C32EB5
AI Researcher
Balyasny Asset Management L.P. (BAM)
ABOUT BAM:
Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.
With 600+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the well-being of our people through world-class benefits.
ROLE OVERVIEW:
BAM is looking for a creative and enthusiastic PhD student to join as an AI Researcher. The program will broaden your data analytical skills and provide you with exposure to the finance world.
LOCATION:
You will have an option to work from BAM’s offices at any of these locations: London, New York, Chicago, or San Francisco
QUALIFICATIONS & REQUIREMENTS:
- Pursuing (towards end of degree) or completed a Doctorate degree preferably in a quantitative-related field (Mathematics, Computer Science, Engineering).
- Strong programming skills and understanding of basic programming concepts (Python is a must).
- Good understanding of machine learning algorithms.
- Good knowledge of NLP algorithms is an advantage.
BAM INTERN ADVANTAGES:
- Competitive pay
- Provided meals (Breakfast & Lunch)
- On-site gym and Fitness Instructor
- Open and friendly culture, which is unique (BAM is ranked one of the best places to work in finance)
If you are interested or if you need further information please contact Jaleh Zand at: jzand@bamfunds.com
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. 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.
Responsibilities
- 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, Evolutionary Computing, Sequence Modelling, Large-Scale Distributed Optimization and Low-Precision Numerical Formats.
- Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities.
- Contribute to the progress of machine intelligence 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.
- Interact and work with external institutions and research labs.
Key Skills
- MSc or PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics, Electrical Engineering or related fields, with a strong basis in numerical methods 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).
- Publications and/or open-source implementations in the area of machine intelligence will be a plus.
Please note, we are only considering candidates who have an established right to work in the UK for roles based in Bristol or London, UK.
Link:
http://graphcore.ai
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. 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.
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
Requirements
- 4+ years of either machine learning development experience or related experience writing and optimizing applications in HPC, scientific libraries, compilers, digital signal processors or GPUs.
- Deep experience with C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
Differentiators
- Masters or PhD in related computationally intensive science or engineering field
- Experience with C/C++, parallel programming and knowledge of computer architectures
- Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe and/or PyTorch
- Excellent communication & presentations skills and comfortable in a customer-facing environment
- Experience working with accelerators such as GPUs, DSPs or FPGAs
- Experience in the AI/machine learning, cloud or automotive space
Link:
http://graphcore.ai
Deep learning scientist — Amazon Alexa
Amazon
Our mission is to make Alexa devices become your best friends, recognizing your voice with confidence. At core, we use both statistical and neural network models to make the magic happen. We are the brains behind “Alexa, who am I?” “Echo, call my mom?” and more. We help millions of Alexa customers to get personalized experience 24 hours a day, 7 days a week.
Amazon is looking for a passionate and inventive Speech Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU), in order to provide the best-possible experience for our customers.
Our Speech Scientists, work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
Link:
https://amazon.jobs/en/jobs/690364/applied-scientist
Machine Learning Engineer (Alexa)
Amazon
The Speaker ID (Voice Recognition) team enables Alexa to provide personalized experience to millions of Alexa customers. Our mission is to make Alexa devices become your best friends, recognizing your voice with confidence. At core, we use both statistical, deep learning, and neural network models to make the magic happen. We are the brains behind “Alexa, who am I?” “Echo, call my mom?” and more. We help millions of Alexa customers to get personalized experience 24 hours a day, 7 days a week.
As a Software Development Engineer for the Alexa Engine team focused on Speaker Recognition, you will be responsible for the design, development, testing, and deployment of scalable distributed services with high level of operational excellence. You help define product features, drive the system architecture, and spearhead the best practices that enable a quality product. In this role, you will work with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility. The team operate in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
In addition, you will build automated machine learning workflows with configurability, traceability, recoverability to enable faster experimentation. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based runtime engines. You will bring software best practices rigor to the machine learning domain by enabling continuous integration, continuous deployment of software artifacts. Prior domain knowledge including Machine Learning, ASR, and NLU is a preferred, though not required. However, strong motivation to learn ML, ASR and NLU is critical for successful candidates. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.
Link:
https://www.amazon.jobs/en/jobs/685314/software-development-engineer-alexa-speaker-recognition
Research Engineer on Big Data Modelling
ArcelorMittal
ArcelorMittal: Worldwide leader in steelmaking and mining with 200000 employees and 1300 full-time researchers.
• Main responsibilities:
–Explore new analytic techniques to deal with challenging problems that cannot be solved with out-of-the-box tools.
–Apply machine learning/analytic techniques over large datasets stored in big data ecosystems
–Conduct analytic projects that employ big data analytics to solve problems using digital technologies.
• Looking for candidates with knowledge in at least one machine learning framework (Python scikit, R, Java Weka, Matlab…), experience working with Agile methodologies and some exposure to Big Data technologies (such as Hadoop or Spark).
• Conditions:
–Position located in Avilés (Asturias), Spain
–30% traveling availability
–Immediate incorporation
Research Engineer on Operations Research
ArcelorMittal
ArcelorMittal: Worldwide leader in steelmaking and mining with 200000 employees and 1300 full-time researchers.
• Main responsibilities: Design, development and deployment of TechnoEconomic models to create innovative solutions for decision support related to Supply Chain, Commercial, Purchasing, Strategy, Finance and Operations.
• Looking for candidates with knowledge on Operational Research, Metaheuristics, Multiobjective Optimization, Analytical competencies, Machine Learning knowledge, Initiative, Creativity, Results Oriented and Team Work.
• Conditions:
–Position located in Avilés (Asturias), Spain
–Requested high availability for traveling
–Immediate incorporation
PhD researcher on Human-like AI
IDLab, University of Antwerp in collaboration with imec
In this research project you will investigate new solutions for machine learning that can go beyond simple pattern matching. The aim is to build solutions which are able to understand the environment they are onserving, and act accordingly in a fast and creative way. Techniques that will be investigated in this domain are graph neural networks, meta-learning and lifelong learning.
- You are conducting research in the IDLab distributed intelligence team, enhancing, applying or extending new machine learning solutions in the domain of meta-learning, incremental learning, reasoning and/or learning structured representations.
- You will implement novel neural network architectures and algorithms, and conduct experiments to compare the new algorithms with existing state-of-the art methods.
- you will write detailed evaluation reports on the developed algorithms and executed experiments, publishing them in major conferences and journals.
- You will develop demonstrators in the framework of European and national research projects (in collaboration with industry).
Link:
https://jobs.idlab.uantwerpen.be/o/phd-researcher-on-humanlike-ai
PhD researcher on Next Generation Neural Networks
IDLab, University of Antwerp in collaboration with imec
The research project
State-of-the-art artificial neural networks have achieved remarkable successes in terms of accuracy in a variety of AI-related tasks. Part of this success is due to the availability of huge amounts of (labeled) data and ample computing power for off-line training. However, in many real-life applications there is a need to be able to train or online adapt these networks with only limited amount of labeled data, and robust networks that can be executed on small and low power devices.
In this research project, you will investigate new brain-inspired ideas that go beyond the current 2nd generation networks (e.g. spiking neurons, temporal coding, learning with hyper-vectors, …) with the aim of designing solutions with high accuracy, but that can also learn new concepts from only a limited number of examples, are robust to noise, and allow for low power implementations.
The job
You are conducting research in the IDLab distributed intelligence team, enhancing, applying or extending brain-inspired learning algorithms and creating new ones.
You will implement novel neural network architectures and algorithms, and conduct experiments to compare the new algorithms with existing state-of-the-art methods
You will write detailed evaluation reports on the developed algorithms and executed experiments, publishing them in major conferences and journals.
You will develop demonstrators in the framework of European and national research projects (in collaboration with industry).
Link:
https://jobs.idlab.uantwerpen.be/o/phd-researcher-on-next-generation-neural-networks
PhD researcher on Next Generation Neural Networks for UAV-based remote sensing
IDLab, University of Antwerp in collaboration with imec
State-of-the-art artificial neural networks have achieved remarkable successes in terms of accuracy in a variety of AI-related tasks. Part of this success is due to the availability of huge amounts of (labeled) data and ample computing power for off-line training.
However, in many real-life applications such as UAV-based remote sensing there is a need to be able to train or online adapt these networks with only limited amount of labeled data, and robust networks that can be executed on small and low power devices.
In this research project, you will investigate new brain-inspired ideas that go beyond the current 2nd generation networks (e.g. spiking neurons, temporal coding, learning with hyper-vectors, …) with the aim of designing solutions with high accuracy, but that can also learn new concepts from only a limited number of examples, are robust to noise, and allow for low power implementations.
You will embark on secondments to other FutureArctic partners (UNIVIE and UAntwerpen) to integrate the learning algorithms and eco-algorithms to develop sustainable development applications and to get hands on insight into the problem and the ecosystem-scale eco-science: learning the functioning of a subarctic grassland.
Requirements can be found on our jobsite.
Link:
https://jobs.idlab.uantwerpen.be/o/phd-researcher-on-next-generation-neural-networks-for-uavbased-remote-sensing
Senior Machine Learning Engineer, AI Personalization
Zillow Group
About the team
The mission of the Zillow AI division is to create unique content and features powered by sophisticated analytics and machine learning technologies atop our unparalleled living database of all homes and hundreds of millions of customers.
We're a fast-moving, developer-driven organization full of brilliant and ambitious people. Zillow product development is highly decentralized in order to create the small team speed and autonomy of a start-up environment while backed by big company resources.
We are responsible for building distributed, big data, machine-learning applications in the cloud. These consumer-facing products power Zillow’s industry-leading online marketplace and puts the team and this role at the core of Zillow’s mission to empower the consumer.
Learn more about what we are doing at https://www.zillow.com/data-science.
About the role
The Zillow AI Personalization team is hiring a Senior Machine Learning Engineer to build intelligent systems that help our customers find a home, driven by machine learning, recommendation, and other forms of automated personalization. Personalization is a critical part of making Zillow the largest, most-trusted, and vibrant home-related market in the world. You will:
Design and code highly scalable, machine learning for real time prediction, streaming and batch processing.
Provide technical leadership to a strong team of applied scientists, machine learning engineers and software engineers.
Follow agile processes with a focus on delivering production-ready testable code in small iterations.
Familiar with coding and optimizing machine learning and deep learning algorithms.
Establish best practices in the team to be adopted by applied scientists and engineers
Link:
https://careers.zillowgroup.com/ShowJob/JobId/175849/Senior-Machine-Learning-Engineer%2C-AI-Personalization
Machine Learning Engineer
Zillow Group
About the team
Zillow is looking for a Machine Learning Engineer to join a growing world-class data science and engineering team dedicated to the newly launched Zillow Offers product: https://www.zillow.com/offers/. Zillow Offers is an initiative at the core of Zillow’s evolution, focused on defining and transforming the future of real estate. We aim to make it simple to buy and sell homes, by giving consumers certainty and control and sparing them the tremendous stress of the traditional process. We are a collaborative team of Applied Scientists, Machine Learning Engineers, and Software Engineers designing and building the machine learning platform that serves as the backbone of the Zillow Offers product.
You will:
• Provide technical leadership to a strong team of data scientists, engineers, and analysts.
• Design and code highly scalable, machine learning applications processing large volumes of data.
• Collaborate with others in crafting and implementing your technical vision.
• Follow agile processes with a focus on delivering production-ready testable code in small iterations.
• Participate in the entire development lifecycle, from concept to release.
• Participate in all phases of quality assurance and defect resolution.
Link:
https://careers.zillowgroup.com/ShowJob/JobId/203233/Machine-Learning-Engineer
NLP, Speech, CV/ML Scientists-various levels and locations
Capital One
Capital One is changing bank for good. Join us to help change the life of our customers and solve challenging NLP,Speech,Computer Vision and other ML problems.
https://www.capitalonecareers.com/job/mclean/machine-learning-scientist-nlp/1732/11494284
Applied Scientist
Amazon.com
Amazon is now hiring Applied Scientists in San Diego, CA! Come join our dynamic Fresh Food Fast team to reinvent how customers shop for their groceries. Fresh Food Fast is one of the fastest growing and strategic areas in Amazon’s retail business, and our team is building a new seller experience from the ground up.
We are looking for an Applied Scientist to join a highly innovative team that is building brand new, mission critical software for millions of Amazon customers. As a scientist on the team you’ll build advanced algorithmic systems that help manage the quality of grocery offerings and drive improvements to our technology, collaborating with sharp engineers and highly-engaged users to improve the quality and customer experience.
Link:
https://www.amazon.jobs/en/jobs/815600/applied-scientist
Senior Data Scientist Marketplace
Unity Technologies
The Unity Monetization Team builds advertising and In-App Purchasing solutions and technologies used in hundreds of thousands of apps. Our Monetization team creates the technology infrastructure and systems that manages the delivery of relevant content to hundreds of millions of users every day, making tens of thousands of decisions every second. Our data systems process massive data sets to develop machine-learning models and analytics that maximize the effectiveness and profitability of unified in-app purchase and advertisement solution. We are continuously striving to build disruptive and powerful solutions to enable game developers to be more successful.
We are looking for a Senior Data Scientist who has a keen business sense and an exceptional background in science and programming. In this role, you will work as a part of an international data science team to create best-in-class targeting and decision-making mechanisms. You will get to develop the processing, services, and algorithms on various machine learning aspects, from providing ideas to developing procedures in production.
This role is located onsite at the Unity office in San Francisco, CA.
Responsibilities
Working machine learning challenges in implementing algorithms and building infrastructure to run these in production environments in scalable and reliable way
Implementing algorithms, knowing and understanding Python/Scala + Tensorflow/PyTorch/Keras, Spark/Samza/Flink, Druid/Cassandra/Redshift, and Data structures, data distribution and storing
Understanding and applying probabilistic methods, different deep learning and reinforcement learning concepts
Working closely with the product team to come up with areas of improvement
Requirements
BS/MS/PhD in Computer Science, Data Science, Machine Learning, Math, Physics or equivalent experience
3 to 7 years of experience working in data science and machine learning.
Knowledgeable about the machine learning trade-offs and model evaluation
Interest in
Link:
https://careers.unity.com/position/-senior-data-scientist-marketplace/1580632
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. 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.
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
Requirements
- 4+ years of either machine learning development experience or related experience writing and optimizing applications in HPC, scientific libraries, compilers, digital signal processors or GPUs.
- Deep experience with C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
Differentiators
- Masters or PhD in related computationally intensive science or engineering field
- Experience with C/C++, parallel programming and knowledge of computer architectures
- Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe and/or PyTorch
- Excellent communication & presentations skills and comfortable in a customer-facing environment
- Experience working with accelerators such as GPUs, DSPs or FPGAs
- Experience in the AI/machine learning, cloud or automotive space
Link:
http://graphcore.ai
Senior AI Engineer (Reinforcement Learning)
Microsoft
We are looking for a passionate Senior Artificial Intelligence Engineer with a broad knowledge of
machine learning and software development techniques to help design and implement a cutting-edge AI platform. This person will focus on designing, implementing and maintaining various deep learning and reinforcement learning codes.
The candidate will work with a multidisciplinary team of smart people, including product managers and software developers, to advance a state-of-the-art AI platform that can be applied to domains like Robotics, Optimization, Control, Anomaly detection, NLP, and/or Machine Vision. We solve challenging problems and are continuously leveraging and advancing the latest in AI research in deep learning and reinforcement learning.
Requirements:
• End to end hands-on ownership of machine learning features and various projects
• Quick Proof of Concept (POC) feature ownership around Deep Learning, mixed with traditional
approaches. POCs typically result in rich experience for the organization and help us evaluate
the feasibility of projects.
• Algorithm development around some key research areas in machine learning. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this exciting field.
• Working with other groups while maintaining clear differentiation and value in our specific offerings, and leading the path of value driven AI features that are innovative and deployable to real customers.
• Interest in learning the newest Reinforcement Learning techniques
Qualifications:
• 4 years of Software Engineering
• 2 years of AI/ML algorithm development
• Masters or Ph.D. degree with preferably ML emphasis
• Produced production code used by others
Link:
None
Sr. Machine Learning Scientist (AWS)
Amazon AWS
Amazon (AWS) Machine Learning Scientist - Boston, MA.
We are building a new service within the Amazon Web Services Development Center, in Boston (Seaport), MA.
We are seeking an outstanding Machine Learning Scientist to design and implement state-of-the-art solutions for never-before-solved problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience.
You will work closely with talented engineers to put your algorithms and models into practice. Your work will directly impact our business and help accelerate large enterprises migrating their computing to AWS.
BASIC QUALIFICATIONS
Basic Qualifications:
· Master’s or PhD in a relevant field
· 4+ years of hands-on experience in predictive modeling and large data analysis
· Experience in Python, or another scripting language; command line usage, e.g., Bash
· Experience with various machine learning and modeling techniques and parameters that affect their performance
PREFERRED QUALIFICATIONS
Preferred Qualifications:
· Experience with statistical modelling / machine learning
· Solid machine learning background and familiarity with state-of-the-art techniques such as deep neural networks
· A strong track record of innovating through machine learning and statistical algorithms and their applications
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
· Ability to think creatively and solve challenging problems
· Contributions such as publications that have advanced the field
· Good written and spoken communication skills
Link:
https://www.amazon.jobs/en/jobs/768794/sr-machine-learning-scientist-aws
Senior data scientist games economy optimization
Unity technologies
The Unity Monetization Team builds advertising and In-App Purchasing solutions and technologies used in hundreds of thousands of apps. Our Monetization team creates the technology infrastructure and systems that manages the delivery of relevant content to hundreds of millions of users every day, making tens of thousands of decisions every second. Our data systems process massive data sets to develop machine-learning models and analytics that maximize the effectiveness and profitability of unified in-app purchase and advertisement solution. We are continuously striving to build disruptive and powerful solutions to enable game developers to be more successful.
That’s where where we need you to partner with us to create the future. We are looking for an experienced data scientist to drive the development of personalized in-game monetization solutions for our developers. You need to be able to define how the next phase of in-app monetization will interface machine-learning-based decision making with the requirements of business and game developers. You need to be well-versed in state-of-the-art machine learning methods (e.g., reinforcement learning) and know what to use and when. You will work cross functionally with business development, game developers, engineers, product, and your colleagues on the data science team.
We ask a lot, but we also offer a lot. You will collaborate on defining how game economies will work in the future. You will utilize your machine learning expertise in a setting that is cutting edge and ahead of the game. No more humans looking at numbers and going with their gut feeling. Your colleagues are those who do cool stuff and make magic happen.
This position is based in San Francisco but involves traveling to conferences and our other monetization office in Helsinki, Finland.
Responsibilities
Influence key stakeholders across the organization and drive alignment on data science and machine learning initiatives
Spearhead and drive the imp
Link:
https://careers.unity.com/position?id=1661787&gh_jid=1661787
Proncipal Data Scientict@Palo Alto Networks
Palo Alto Networks
See link for details.
If you are interested, please DM me
Link:
https://jobs.gobvite.com/paloaltonetworks/job/oN0i9fwY
Senior data scientist
Unity technologies
The Unity Monetization Team builds advertising and In-App Purchasing solutions and technologies used in hundreds of thousands of apps. Our Monetization team creates the technology infrastructure and systems that manages the delivery of relevant content to hundreds of millions of users every day, making tens of thousands of decisions every second. Our data systems process massive data sets to develop machine-learning models and analytics that maximize the effectiveness and profitability of unified in-app purchase and advertisement solution. We are continuously striving to build disruptive and powerful solutions to enable game developers to be more successful.
That’s where where we need you to partner with us to create the future. We are looking for an experienced data scientist to drive the development of personalized in-game monetization solutions for our developers. You need to be able to define how the next phase of in-app monetization will interface machine-learning-based decision making with the requirements of business and game developers. You need to be well-versed in state-of-the-art machine learning methods (e.g., reinforcement learning) and know what to use and when. You will work cross functionally with business development, game developers, engineers, product, and your colleagues on the data science team.
We ask a lot, but we also offer a lot. You will collaborate on defining how game economies will work in the future. You will utilize your machine learning expertise in a setting that is cutting edge and ahead of the game. No more humans looking at numbers and going with their gut feeling. Your colleagues are those who do cool stuff and make magic happen.
This position is based in San Francisco but involves traveling to conferences and our other monetization office in Helsinki, Finland.
Responsibilities
Influence key stakeholders across the organization and drive alignment on data science and machine learning initiatives
Spearhead and drive the imp
Link:
https://careers.unity.com/position/senior-data-scientist/1661787
Deep Reinforcement Learning Researcher (PhD.) AI@Unity
Unity technologies
We are looking for an exceptional researcher to join Unity’s ML-Agents team within AI@Unity. The ML-Agents team is an applied research team focused on: 1. Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to language-guided visual navigation, and 2. Enabling Unity developers to train character behaviors using machine learning techniques such as deep reinforcement learning and imitation learning. You will be working with a team of researchers and engineers to develop technologies for creating intelligent agent behaviors within Unity environments. Bringing these technologies to the Unity platform has the potential to both transform how games are created, tested, and evaluated, and push forward RL research by providing novel simulation environments.
You will have access to Unity’s vibrant ecosystem of developers and games, providing simulation environments that range from 2D turn-based to 3D real-time strategy, including networked and multi-player games. You will have the opportunity to extend state-of-the-art machine learning within this ecosystem, exploring areas such as generalization and adapting to changing observation and action spaces, efficiently leveraging real player data, hierarchical modeling, multi-agent, active/interactive learning within the Unity Editor and large-scale distributed training.
Responsibilities
Conducting original machine learning research on training character behaviors. This includes algorithm development, experimentation and writing high-impact research papers.
Experimenting with training character behaviors in live and pre-production Unity games
Contributing to the development of developer-facing APIs for transforming games into learning environments
Contributing to the design and development of our large-scale distributed training system
Requirements
Ph.D. in Computer Science, Math or Statistics, Physics, or a related area
Strong foundation in mathematics, statistics, data
Link:
https://careers.unity.com/position/deep-reinforcement-learning-researcher/1703434
Senior Software Engineer ( Machine Learning Systems) AI@Unity
Unity technologies
We are looking for an exceptional engineer to join Unity’s ML-Agents team within AI@Unity. The ML-Agents team is an applied research team focused on:
Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to language-guided visual navigation
Enabling Unity developers to train agent behaviors using machine learning techniques such as deep reinforcement learning and imitation learning.
You can learn more about us by reading our Unity Blog posts and arXiv papers [1, 2].
You will be working with a team of researchers and engineers to develop technologies for creating intelligent character behaviors within Unity environments. These technologies have the potential to transform how games are created, tested, evaluated and deployed, and the experiences they deliver to millions of players worldwide.
Note: We are hiring at all levels. Junior, senior and principal engineers are encouraged to apply.
Responsibilities
Contributing to the design of developer-facing APIs for transforming games into learning environments
Contributing to the design, development and operation of a world-class large-scale distributed training platform
Building internal tools that support machine learning experimentation
Contributing to the design, development and support of the ml-agents GitHub project
Requirements
Experienced developer with solid skills in Python, C++, C# or Go
Strong foundation in mathematics, statistics, data structures and algorithms
Experience with building performant, robust, large scale data/distributed systems
Experience in fostering a strong data-driven engineering culture in an agile environment
Excellent communication skills with the ability to build relationships across the company
Bonus Points
Contributed to open source projects
M.S. or Ph.D. in Computer Science, Math or Statistics, Physics, or a related area
Experience with Machine Learning and Deep Learning Frameworks (e.g. TensorFlow, PyTorch)
Experience with
Link:
https://careers.unity.com/position/senior-software-engineer-machine/1703470
Senior Software Engineer (Distributed Systems), AI@Unity
Unity technologies
We are looking for an exceptional distributed systems engineer to join the Virtual Playtesting team, a new team under AI@Unity. The Virtual Playtesting team is a product team focused on building services to enable game developers to continuously evaluate and test their games at scale by leveraging millions of cloud simulations of their game. Games are some of the most complex pieces of software and require extensive manual work to test, whether it’s tracking down bugs or balancing the difficulty progression and in-game economy. Our goal is to build a platform that empowers game developers, designers and testers to automate testing. This will result in incredibly faster iteration and release cycles, lower development costs and a much more enjoyable experience for the millions of players that enjoy games made with Unity.
This is an opportunity to be one of the founding members behind an innovative product that will define a new standard for how games are evaluated and tested. We’re looking for people who are entrepreneurial, adaptable and enjoy challenging the status quo.
Responsibilities
Building and owning robust microservices that can scale to millions of games and billions of tests
Defining API specifications for your services and how to integrate with other Unity services and systems
Writing high-quality, clean code that is production-grade
Requirements
Strong foundation in data structures, algorithms
Professional software engineering experience in Java, C#, Python or Go
Experience building microservices
Experience working with public cloud providers like AWS, Azure, or GCP
Experience shipping large scale products and services in a production setting
Bonus points
MS or PhD with a focus on distributed systems
Experience working with GCP
Experience with Unity Engine or game development
Knowledge of machine learning
Who we are
Unity is the creator of the world’s most widely-used real-time 3D (RT3D) development platform, providing content creators around the wo
Link:
https://careers.unity.com/position/senior-software-engineer-distributed/1612126
Senior Software Engineer - Data Oriented Technology Stack
Unity technologies
Unity reaches the world on the next billion devices, from entry-level mobile phones to the highest-end AAA games and runtimes need to be highly performance and scalable. The Unity Data-Oriented Design team builds the tools to give developers the capability to create those experiences and tools to enable others to do so. Our goals are to enable best in class hardware usage and optimizations that can scale from tiny games running on smart watches, to large scale experiences in a way that’s fully accessible to our audience.
You will be working on a brand-new, highly modularized architecture based around data-oriented design principles where scalability lives alongside performance. Areas of focus would include core runtime features, asset optimization, editor UI and workflows. Your game design experience might influence our engine functionality design. And you will have an opportunity to work on compression technology, compiler optimizations, data design and other technology innovations to drive game experiences and tools development at Unity.
Rebuilding Unity’s core
We’re rebuilding the core foundation of Unity with the high-performance multithreaded Data-Oriented Technology Stack. DOTS makes it possible for your game to fully utilize the latest multicore processors without the heavy programming headache. DOTS includes the following features:
The C# Job System for running multithreaded code efficiently.
The Entity Component System (ECS) for writing high-performance code by default.
The Burst Compiler for producing highly optimized native code.
These DOTS features provide programmers with a convenient sandbox to write multithreaded code with massive performance gains. DOTS is currently available in Preview.
DOTS’ multithreaded systems enable you to create games that run on a variety of hardware, build richer game worlds with more elements and more complex simulations, and even optimize thermal control and battery lifetime on players’ mobile devices. By moving f
Link:
https://careers.unity.com/position/senior-software-engineer-data-oriented/1682577
Field Applications 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.
Responsibilities
- Own the technical relationships with our customers and partners and helping them to exploit Graphcore’s IPU technology to achieve breakthroughs in artificial intelligence
- Be a technical expert on Graphcore’s products, directly supporting our Sales teams to secure design wins, and to lead hardware and software support of our products from the design-in phase through to successful completion and production deployment
- Become a recognized expert on Graphcore’s IPU technology and Poplar™ tools and deliver compelling training to our customers and partners
- Shepherd critical customer issues and provide timely advance warning of critical issues that need attention
Requirements
- 4+ years of related experience in a high tech electronics industry in a programming, design or technical support role Bachelors in Engineering, Computer Science, Mathematics, Physics or similar field
- Excellent communication & presentations skills and comfortable in a customer-facing environment
- Experience with Python and C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
- Action-oriented with strong analytical and problem solving skills
Differentiators
- Masters or PhD in related computationally intensive science or engineering field
- Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe, Caffe2, Torch, and/or PyTorch
- Experience working with PCIe form-factor accelerators such as GPUs, DSPs or FPGAs
Experience in the AI or Machine Learning space
- Experience working to optimize scientific or computationally intensive application codes, libraries or compilers.
Link:
http://graphcore.ai
Machine Learning Researcher Sony in Germany
Sony
job description here:
https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Stuttgart/Machine-Learning-Researcher---Scientist_JR-101192
Please feel free to reach out during ICML if you want to have a chat to talk about this oportunity.
Link:
https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Stuttgart/Machine-Learning-Researcher---Scientist_JR-101192
Research 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.
Responsibilities
- 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, Evolutionary Computing, Sequence Modelling, Large-Scale Distributed Optimization and Low-Precision Numerical Formats.
- Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities.
- Contribute to the progress of machine intelligence 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.
- Interact and work with external institutions and research labs.
Key Skills
- MSc or PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics, Electrical Engineering or related fields, with a strong basis in numerical methods 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).
- Publications and/or open-source implementations in the area of machine intelligence will be a plus.
Please note, we are only considering candidates who have an established right to work in the UK for roles based in Bristol or London, UK.
Link:
http://graphcore.ai
Senior Software Engineer ( Machine Learning Systems) AI@Unity
Unity Technologies
We are looking for an exceptional engineer to join Unity’s ML-Agents team within AI@Unity. The ML-Agents team is an applied research team focused on:
Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to language-guided visual navigation
Enabling Unity developers to train agent behaviors using machine learning techniques such as deep reinforcement learning and imitation learning.
You can learn more about us by reading our Unity Blog posts and arXiv papers [1, 2].
You will be working with a team of researchers and engineers to develop technologies for creating intelligent character behaviors within Unity environments. These technologies have the potential to transform how games are created, tested, evaluated and deployed, and the experiences they deliver to millions of players worldwide.
Link:
https://careers.unity.com/position/senior-software-engineer-machine/1703470
Deep Reinforcement Learning Researcher (PhD.) AI@Unity
Unity Technologies
We are looking for an exceptional researcher to join Unity’s ML-Agents team within AI@Unity. The ML-Agents team is an applied research team focused on: 1. Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to language-guided visual navigation, and 2. Enabling Unity developers to train character behaviors using machine learning techniques such as deep reinforcement learning and imitation learning. You will be working with a team of researchers and engineers to develop technologies for creating intelligent agent behaviors within Unity environments. Bringing these technologies to the Unity platform has the potential to both transform how games are created, tested, and evaluated, and push forward RL research by providing novel simulation environments.
You will have access to Unity’s vibrant ecosystem of developers and games, providing simulation environments that range from 2D turn-based to 3D real-time strategy, including networked and multi-player games. You will have the opportunity to extend state-of-the-art machine learning within this ecosystem, exploring areas such as generalization and adapting to changing observation and action spaces, efficiently leveraging real player data, hierarchical modeling, multi-agent, active/interactive learning within the Unity Editor and large-scale distributed training.
Link:
https://careers.unity.com/position/deep-reinforcement-learning-researcher/1703434
Postdoc in ML and computational neuroscience.
Cold Spring Harbor Laboratory.
Interested in using ML to understand the brain? Let me know. Multiple projects are available.
AI in healthcare
Geisinger Health System
Qualifications:
➢ Enthusiastic researcher at M.Sc. or Ph.D. Level.
➢ Positions include, Post-doc, staff scientist, bioinformatician, data scientist…..
Where:
➢ At Geisinger Health System, one of the most “wired health care systems in the US”. Located in central Pennsylvania, about 2-3 hours from major metropolitan cities, including Philadelphia, NY, DC…
Benefits:
➢ Competitive compensation, including retirement benefits, health insurance etc…
➢ Opportunity for growth and collaboration with major National/International institutions (ex: MIT, VTech, Harvard Medical School, …)
➢ Access to real world clinical data of more than 700K active patients, enriched with insurance claims, geocode data (socio-economic level,… ), billing data (through Geisinger Health Plan) AND genetics data from 145,000 of our active patients, that is just to mention few, from 13 hospitals in Central PA.
Who we are:
➢ We are a team of highly dynamic researchers, including NIH trained Clinician scientist in Neurology (Dr. R. Zand); Bioinformaticians with 10+ years of experience from large centers including St. Jude (Dr. J. Li), Engineers with expertise in ML and NLP (Dr. V. Abedi); Immunologist (Dr. Y. Zhang) as well as researchers with expertise in pharmacogenomics (Dr. M. Lee). We have active funding from Geisinger, Department of Defense, NIH, and industry.
Link:
None
J.P. Morgan - AI & ML summer internship
J.P. Morgan
With talented individuals needed across JPMorgan Chase, we are looking for top minds to harness the power of data assets across our businesses to create a firm of the future.
Our data scientists are backed by our most senior leadership, a $10.8 billion annual technology investment and a range of internal groups designed to foster learning, development and collaboration. They all have the opportunity to take their career in many different directions and access to training and mentors.
This 3-month summer internship program will introduce you to the most forward thinking work across our business.
Depending on your location of choice and area of interest, Data Science and Machine Learning Interns will be placed in one of the following teams:
- AI Research
- Applied AI & ML
- Quantitative Research - ML
- AI infrastructure
Link:
None
J.P. Morgan AI Research Lead
J.P. Morgan
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 Leads will work with Research Directors and Research Engineers and conduct primary end-to-end research typically within a specialized focus area. They 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.
Link:
None
Data Scientist, Zillow Offers
Zillow Group
About the team
Zillow is looking for an extraordinary Data Scientist to join a growing team. Zillow is on a mission to give consumers certainty and control when selling their home. In particular, using our unparalleled data, and view into housing markets, to help build a world-class platform for real estate marketplace optimization. In the Zillow Offers product, Zillow buys homes directly from interested homeowners, thereby sparing them the tremendous stress and effort of selling. Instead, we take that upon ourselves by quickly preparing these homes for the market and sell them to buyers. This is a key initiative at Zillow as we aim to define the future of real estate. This product isn’t viable for everyone (yet). When that’s the case, we want to make sure we still help consumers sell their home.
Our team is tasked with absorbing dozens, sometimes billions, of rows of data from various sources, organizing them, analyzing them, and visualizing them to help inform both short- and long-term decision-making.
About the role
You will dive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Redshift, Python, Mode Analytics, Tableau, R) to make strategic recommendations (e.g., personalized user flows, segmented marketing audiences, more accurate pricing forecasts).
You will lead analytical efforts to develop scalable and methodologically rigorous approaches to performance measurement (e.g., AB testing, incrementality testing), forecasting, and other applications of advanced analytics.
You will serve as a mentor to other Data Scientists on the team and Analysts across the company by leading learning academies and serving as an available resource for all things related to analytics.
You will mature a common language and approach to analyzing and communicating information and insights across teams.
You will tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.
Link:
https://careers.zillowgroup.com/ShowJob/JobId/277998/Data-Scientist%2C-Zillow-Offers
Senior Applied Scientist - Risk Management
Zillow Group
Zillow is looking for a Senior Applied Scientist specialized in building risk management models to join our growing Zillow Offers Machine Learning team.
You Will:
Use quantitative models (including econometric, statistical, or machine learning models), to develop models to understand and quantify the overall financial impacts of various policies and activities in which Zillow Offers engages.
Lead research and develop risk assessment methodologies and strategies to permit Zillow to identify current, emerging, and prospective risk factors within Zillow’s housing portfolio.
Develop tools and methodologies to enable loss forecasting and stress testing.
Lead analytic efforts in support of the continuous improvement of profitability, acquisition channel optimization, and overall business outcomes
Who you are:
Industry experience in an applied data science or model validation role focusing on quantitative research, financial risk management, operations research, or yield/revenue management.
A Masters Degree and 4+ years experience OR a PhD and 2+ years experience in Computer Science, Statistics, Mathematics, Econometrics, Quantitative Finance, Operations Research, or a related discipline.
Relevant certifications (Financial Risk Manager, Professional Risk Manager, Energy Risk Professional, Chartered Financial Analyst, Certificate in Quantitative Finance, etc) are highly regarded
Experience with Applied Risk Modeling (factor models, copulas, multi-step Monte Carlo, VaR, PCA, etc.). Experience scaling risk problems to a very large number of heterogeneous assets is a plus.
Experience with Econometrics (vector autoregression, error correction models, GARCH, etc.)
Familiarity with machine learning models (tree-based methods, clustering)
Expertise working with languages like Python or R and distributed system such as Spark and Hadoop.
Link:
https://careers.zillowgroup.com/ShowJob/JobId/261188/Senior-Applied-Scientist-Risk-Management
Data Scientist, Home Loans
Zillow Group
About the team
You will join Zillow Group Home Loans a dynamic, collaborative, and driven team. We are
data-hungry and make almost all decisions using data. Our team structure if flat. You will
communicate directly with Directors and VPs. You will have the opportunity to present results
directly and help drive the direction of the business.
About the role
Zillow Group is currently seeking a Data Scientist to join the Zillow Group Home Loans Analytics team in our Seattle, WA office. Our team is tasked with absorbing billions of rows of data from dozens of sources, organizing them, visualizing them, and analyzing them to help inform both short- and long-term decision-making. You will not shy away from complexity and uncertainty, and you will develop a deep understanding of our mission, business models, and personas. We want you to use that intuition you’ve developed (both in business and real life) to use the data we have on hand to find opportunities for growth and to develop insights that help the broader organization meet its goals, improve its performance, and positively impact how our users and customers navigate the Home Loans market. Once you’re here, you’ll help engineer, analyze, and report on data to improve our Home Loans business and products.
In this role you will:
Dive into our internal data (think Hive, Presto, SQL Server, My SQL, Redshift, Python, Mode Analytics, Tableau, R), combining disparate sources of information into data sets you can analyze.
Help sales, product and business leadership make decisions with data.
Tackle complex business problems by converting raw data into meaningful and actionable business ideas.
Craft insightful automated dashboards & data visualizations to track key metrics.
Work with a team of analysts to support Zillow’s Home Loans product and sales team.
Link:
https://careers.zillowgroup.com/ShowJob/JobId/288527/Data-Scientist%2C-Home-Loans
Senior Machine Learning Engineer - Conversational AI
Zillow Group
About the team
The Conversational Assistants AI team, part of the overall Artificial Intelligence team, is responsible for the science and platforms that power automated conversational intelligent agents across Zillow Group websites and mobile apps. The intelligent bots converse with 200 million unique users per month supporting apartment tours, questions and answers for landlords, rental leases, and other natural language conversations for real-estate specific scenarios.
About the role
The Sr. Machine Learning Engineer will design and build the next-generation intelligent agents that will power automated natural language conversations in real-estate. You will:
Participate in the technical direction for conversation assistants at Zillow Group
Build machine learning models and systems in natural language processing (NLP), natural language understanding (NLU), semantic understanding, and intent classification
Build real-time low-latency machine learning platforms
Be hands-on in technical feature development, design and code-reviews, prototyping
Enable applied scientists to iterate quickly and deploy NLP and NLU machine learning models into production
Link:
https://careers.zillowgroup.com/ShowJob/JobId/188530/Senior-Machine-Learning-Engineer-Conversational-AI
Senior/ Principal Machine Learning Engineer
Zillow Group
You will be focused on one of several initiatives, including personalization and recommendation, home price estimation and forecasting, advertising, deep learning, computer vision, agent related analytics, Zillow Offers and AI platform, to help make Zillow the largest, most-trusted, and vibrant home related market in the world.
Link:
https://careers.zillowgroup.com/List-Jobs/keyword/machine%20learning%20engineer
Senior Applied Scientist - Mortgage Analytics
Zillow Group
About the team
At Zillow Home Loans (ZHL), our mission is to transform the way consumers make the most important purchase of their lives by redefining the mortgage experience. Today, the hardest and longest part of buying a home is getting a mortgage and we believe we can radically improve the experience. This is a key initiative at Zillow Group as we seek to define the future of real estate.
We are building a platform for our recently acquired mortgage lending operation to automate and streamline our loan origination workflows, automate repetitive tasks, and make it easier for our loan officers and processors to deliver an incredible experience for consumers.
The Mortgage Analytics team builds capabilities that leverage machine learning and AI to transform the mortgage business into a fully digitized, automated and intelligent platform that powers amazing experience for our customers.
About the role
ZHL is looking for an expert Senior Applied Scientist who is proficient in Supervised and Unsupervised machine learning algorithms. This role will challenge you to think out-of-box and utilize groundbreaking ML technology to solve our toughest business problems. This is a unique opportunity for someone to dive deep into challenging business problems and make a large business impact.
You will:
Translate business opportunities into a well-defined machine learning task
Efficiently collect and wrangle data from various data sources with complex formats
Develop and test data-driven machine learning models
Work closely with applied scientists, engineers, and developers to implement ML solutions at a large scale into production
Communicate complex machine learning analyses clearly to all audiences
Link:
https://careers.zillowgroup.com/ShowJob/JobId/295013/Senior-Applied-Scientist-Mortgage-Analytics
AI Engineer
Recogni
AI Engineer... Mainly vision stuff for autonomous vehicles.
Link:
www.recogni.com
AI Scientist
Recogni
AI Scientist... mostly vision stuff for AVs.
Link:
www.recogni.com
Deep Learning for Genomics Postdoctoral Researcher
Cold Spring Harbor Laboratory
A postdoctoral position in deep learning for genomics is available in the laboratory of Dr. Peter Koo at the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory. Candidates with prior knowledge of computational biology or a machine learning background with strong interest in transitioning into biological data space are encouraged to apply.
Our research consists of developing data-driven machine learning methods to predict genomic sequence-function relationships. We are currently interested in robust deep learning methods for genomics and deep generative models for protein sequences. Our higher-level aim is to elucidate the functional effects of genomic mutations, which can further help to identify novel biomarkers for cancer and rare diseases.
Qualifications: PhD in Computer Science, Physics, (Applied) Math, Statistics, Engineering or other quantitative field. Machine learning experience is required, as is enthusiasm for biology or biomedicine. In-depth knowledge of one or more of the following: generative adversarial networks, variational autoencoders, transformer networks, normalizing flows, adversarial attacks/training, and interpretability techniques for black-box models. Ideal candidates will have strong communication skills and a desire to work in an interdisciplinary environment. Prior experience with biological sequence data is a plus, but not necessary.
Cold Spring Harbor Laboratory offers a highly collaborative social and scientific environment as well as a competitive salary and benefits in a beautiful location about one hour from New York City.
If you are interested in joining the lab, please send a CV and a statement of your research interests along with the names of two references to: peter_koo@harvard.edu.
Attending ICML 2019? Reach out directly to Peter Koo to learn more about this opportunity.
Watch this video to learn more about our research: https://youtu.be/nQqVxGzeYZs
AI Research Scientist (PhD)
J.P. Morgan
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 Scientists will work with Research Directors and Research Leads and conduct primary end-to-end research typically within a specialized focus area. They 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.
Link:
None
Research Scientist at Facebook AI - HQ
Facebook
Join the team working on the Conversational AI for the AR/VR. Having a finished PhD degree is required for this role.
Data Scientist
Vesta Corporation
The role of the Data Scientist is to discern fraudulent transactions from a large pool of legitimate ones. You will achieve this by leveraging all the data available to build complex models and rules for real-time decisions. To succeed in this role, you must demonstrate the ability to leverage new technology and advanced machine learning to analyze and discover new insights to achieve the company's operational and strategic goals. The ideal candidate for this position has strong analytical skills, enjoys problem solving, and is passionate about fighting fraud.
Link:
https://vestajobs.applicantpool.com/jobs/240139.html
Data Scientist
Cresta Intelligence Inc.
Data Scientists at Cresta perform research and analysis that allows us to make optimal product decisions. As a data-driven company, our data scientists are key to the product’s continuous improvement by uncovering key insights from our data. Our data scientists work closely with product managers and engineers to implement appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for Cresta. As a data scientist, you will work on modeling our long-term growth, improving the relevance and personalization of the product, and exploratory factor analysis of agent behavior.
You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.
About Us
Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.
What We Look For:
- M.S., Ph.D. in a scientific or quantitative field
- 4+ years work experience
- Superb communication skills and ability to explain your analysis clearly to engineers and product managers
- Proficiency in SQL
- Familiarity with Python or similar scripting language
- Passion for learning and always improving yourself and the team around you
- Fantastic statistical intuition
- Knowledge of various analytical approaches
Link:
Cresta.ai
Software Engineer (DevOps)
Cresta Intelligence Inc.
Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.
Cresta's DevOps and Infrastructure team is responsible for designing, building and advancing our core infrastructure that allows the team to execute quickly, productively and securely.
What You’ll Do:
- Developer Toolchain. Build dev tools to empower developer's workflow.
- Continuous Integration and Deployment.
- Container scheduling systems, Kubernetes clustering management
- Metrics, logging, analytics and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling, supporting services on multiple cloud providers and on-premise virtualization.
- Building machine learning applications that enable AI team to train, test, and deploy on large-scale datasets.
What We Look For:
- 3+ years experience in Software Engineering and DevOps, Site Reliability Engineering, or equivalent field.
- Proficiency with scripting languages like bash and python.
- Deep familiarity with container-related security best practices.
- Experience working with Kubernetes clusterings.
- Experience working with AWS and Google Cloud.
- Experience managing and developing highly-available and distributed software.
- Exposure to infrastructure-as-code frameworks.
- Experience on CI/CD and feature gating systems.
- Fluency in Linux operations and configurations.
Link:
Cresta.ai
Senior Front End Engineer
Cresta Intelligence Inc.
Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.
As one of the first front end engineers at Cresta, you’ll have a huge impact on our product and direction. You’ll be working with our product team to craft great user experiences around the magic our AI creates. We are open to remote employees.
You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.
What You'll Do:
- Build the user interaction for a machine learning platform and features that assist our users with real-time suggestions
- Teach & mentor junior developers
- Be a subject matter expert on our business logic, architecture, and the core tech in our stack (GraphQL , React, TypeScript, Apollo)
- Work closely with Product to understand requirements and advise on technical trade-offs
What We Look For:
- Experience shipping web apps with modern tools like React.js, Redux, GraphQL, Webpack and Node.js
- 6+ years experience in Software Engineering or equivalent field
- A fierce commitment to the professional development of those junior to you
- A systematic process for solving problems, with a commitment to continually improving that process
Link:
cresta.ai
Research Scientist - Salesforce Research Asia
Salesforce Research Lab
Salesforce Research is pioneering in the field of deep learning, natural language processing and artificial intelligence. At Salesforce, the research team is committed to collaborating with the wider research community; while research scientists have the opportunity to work directly on advancing technologies that customers use as part of the Einstein AI Platform, they may also focus exclusively on high-impact publications. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an immediate application for several years.
Salesforce Research Asia is looking for outstanding entry level research scientists, located in Singapore. As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in research. Research scientists have the freedom to set their own research agenda and move between pure and applied research.
Candidates should have a strong background in one or more of the following fields in AI: deep learning, machine learning, natural language processing, computer vision, speech recognition, or reinforcement learning. Additionally, applicants should have in-depth experience with one or more applications, such as dialogue systems, question answering, machine translation, text categorization, text summarization, information extraction, asian-language or multi-language processing, language and vision, image classification, object detection, semantic segmentation, or other related applications in AI.
Responsibilities and Qualifications can be found at the link above.
Link:
https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/Singapore---Singapore/Research-Scientist_JR33601
Research Scientist - US
Salesforce Research Lab
Research scientists discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI. At Salesforce, the research team is committed to collaboration with the wider research community; while research scientists have the opportunity to work directly on advancing technologies that customers use as part of the Einstein Platform, they may also focus exclusively on publications. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an application for several years. Research scientists have the freedom to set their own research agenda and move between pure and applied research.
Ideal candidates have a strong background in one or more of the following fields: deep learning, machine learning, natural language processing, computer vision, or reinforcement learning. Additionally, applicants should have in-depth experience with one or more of text categorization, text summarization, information extraction, question answering, dialogue learning, machine translation, language and vision, image classification, image segmentation, or object detection.
Candidates should have a strong publication record in top-tier conferences or journals (e.g. NIPS, ICML, ICLR, ACL, CVPR, KDD, PAMI, JMLR, TACL, IJCV).
In addition to their own research agenda, senior research scientists will have the opportunity to take on additional responsibilities leading project teams, mentoring interns, and advising junior research scientists.
Responsibilities and Requirements can be found at the link above.
Link:
https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/California---Palo-Alto/Research-Scientist---Salesforce-Research_JO-1712-62251
AI Researcher (Internship)
Balyasny Asset Management L.P. (BAM)
ABOUT BAM
Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.
With 600+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits.
ROLE OVERVIEW
BAM is looking for an advanced-degree student to join the BAM Intern Program (off-cycle) as a AI Researcher for its systematic macro team in New York. The team focuses on the development of quantitative strategies across global equity, fixed-income, commodity, and currency markets. Working alongside experienced researchers, you will be asked to work on all aspect of strategy development, including:
- Exploring different financial and alternative datasets;
- Looking for trading opportunities in the interaction between assets across markets and asset classes;
- Applying advanced statistical models to generate signals to predict asset prices;
- Transforming these signals into practical, tradeable strategies;
- Expanding current trading strategies and systems to improve their efficiency.
QUALIFICATIONS & REQUIREMENTS:
- Pursuing a Ph.D. in a quantitative field (Mathematics, Physics, Computer Science, or Engineering);
- Advanced math and quantitative skills, with experience in statistics or signal processing;
- Proven track record of outstanding research skills;
- Strong programming skills in high-level programming languages (Python is a must).
- Ability to communicate complex research ideas clearly.
PhD positions in Data-efficient ML and AutoML
SUMO Lab - IDLab, Ghent university
The goal of the PhD research is to design tools and techniques to automate key parts of the machine learning pipeline
in order to build the models smarter, better and faster. In the proposed framework, we want to progressively automate
the data science process, from data collection to training the machine learning models. This includes techniques for
meta-learning (learning to learn), deep learning models, efficient data collection and labeling (active learning), etc. PhD
students will develop state-of-the-art algorithms to automate various Machine learning tasks prioritizing the time-
consuming and laborious steps in the AutoML flow, such as (data-efficient) modeling, and data collection.
The proposed PhD research is defined within the context of several national and international research projects on
automatic machine learning (AutoML). While grounded in fundamental academic research, as a PhD candidate you
will also participate in collaborative research with industrial and/or academic partners in Flanders and/or on a wider
geographic scale (e.g., EU H2020 projects), in the framework of new/ongoing projects. The SUrrogate MOdeling
(SUMO) team lead by prof. dr. Tom Dhaene offers a fully funded PhD position, provided positive intermediate
evaluation, starting fall 2019.
Please contact: prof. Tom Dhaene (tom.dhaene@ugent.be) and Dr. Ivo Couckuyt (ivo.couckuyt@ugent.be)
More information:
https://drive.google.com/a/intec.ugent.be/file/d/1MWt2b_V8rgHSfN7oc9gPcFNjMbjsWlzZ/view?usp=drivesdk
Petroleum Systems Analyst (AI and ML)
Saudi Aramco
Develop AI and ML solutions for reservoir simulation including history matching, field development, geological modeling and post processing
Principal Software Engineer
Atlassian
Looking for a principal backend engineer to work on our intelligent messaging platform used in our Confluence and Jira products.
Required Experience:
- Worked as a principal engineer implementing highly scalable microservices on AWS written in Java
Desired Experience:
- Experience engineering customer targeting and audience building systems
- Experience with Experimentation and Measurement Platforms
- Experience with engineering ML content recommender systems in production
Link:
https://www.atlassian.com/company/careers/detail/fba9eab6-84dc-40e1-8a46-59f646fc3766
Research Engineer/Applied Scientist
Salesforce Research
Salesforce Research (previously MetaMind) is looking for extraordinary research engineers.
As a research engineer at Salesforce Research, your role will be at the intersection of software engineering and research, and may range from implementing novel research models to rapid-prototyping demos that show off applications of deep learning on production data. You will work closely with research scientists to develop models, prototypes, and experiments that push the state of the art in AI research, paving the way for innovative products for the Einstein AI Platform. You will have the opportunity to take on real-world problems from Salesforce’s enterprise customers with the latest deep learning models.
You have strong programming skills and a background in one or more of the following domains: deep learning, machine learning, natural language processing, or computer vision, with applications such as: text categorization, text summarization, sentiment analysis, information extraction, question answering, dialogue learning, language and vision, image classification, image segmentation, and object detection.
If interested, please apply online to the link above, where a full job description of the role can be found.
Link:
https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/California---Palo-Alto/Research-Engineer--Salesforce-Research--Entry-Level-_JR15798
Machine Learning Scientist
integrate.ai
We are looking for a Machine Learning Scientist to join our client team. This role will be working to develop statistical and machine learning models to power our AI platform and making traditional businesses customer centric using artificial intelligence. This is a unique opportunity for someone who wants to grow in the world of machine learning and work with a team of passionate individuals committed to the mission of bringing ML to enterprise. This role will play a key role in the development of what makes our platform unique and push our science team to build new and innovative machine learning models.
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.
- Working with business stakeholders and product managers to translate product requirements into machine learning research and development activities.
- Working with architects, data and quality assurance engineers to develop statistical inference processes, monitoring and testing automation frameworks to ensure data, insights, and model quality while delivering analytical insights into the product.
Link:
https://www.integrate.ai
ML Research Scientist/Engineer
Electronic Arts (EA)
At EA Digital Platform - Data & AI, we build centralized data-driven and AI-assisted services that power games. The team manages a centralized data infrastructure and AI platform, that constitute a solid bedrock for solving practical AI problems. The applications include Recommender Systems, NLP, Training Agents, Fraud Detection, Computer Vision, and Animation. The team's outcome improves the gameplay experience for hundreds of millions across the globe in addition to contributing scientifically to the research community.
If interested, please directly email me your resume with a couple of sentences on which open position you are interested in the most.
Link:
https://www.ea.com/careers/careers-overview/technology/cto-data-ai-engineering
NLP Internship for current summer 2019
IBM Research
At Scalable Knowledge Intelligence group (https://researcher.watson.ibm.com/researcher/view_group.php?id=9820) at IBM Research - Almaden, we have one summer intern spot that just opened up for 2019. We are looking for candidates (Undergraduate with research experience or graduate) with strong background in natural language processing and machine learning. Please email wangnxr@ibm.com with your CV.
Machine Learning Scientist
Uber Technology
Join us building the most popular consumer facing product (Uber Eats) with machine learning at Uber! Send me a message if you’re interested or would like to meet and chat.
TL; DR: I am actively hiring machine learning / data scientist (L3-L6), product analyst (L3-L6), data science manager and product analytics manager for my team.
About the team: our team owns all consumer-facing products and experience at Uber Eats. A few examples:
1) improve the personalization of all user-facing products through recommendation and search relevance (Order Experience team)
2) grow the business sustainably, measure incrementality of marketing and brand campaign, and optimize promotion spend through targeting and experimentation (Growth team)
3) provide data driven solutions for customer support experience, such as auto-refund, appeasement and self-serve issue resolution (Delivery Experience team)
4) build ubereats.com (Web Eats team).
Different from the more traditional data science and analytics team in the tech industry, our team owns the full lifecycle of the customer experience: from strategize the product roadmap, to the inception of each product such as quantitative research and headroom analysis (with Product Managers), to data engineering and statistical modeling, to online model deployment (with Backend Engineers), to experiment design and analysis, and finally to product launch and rollout (with Product Managers).
Importantly, I am actively hiring machine learning / data scientist (L3-L6), product analyst (L3-L6), data science manager (M1, M2) and product analytics manager (M1, M2) for my team. Please reach out to me if you are interested in taking the driver's seat and be part of the wild ride at Uber!
Link:
https://www.uber.com/global/en/careers/list/49481/
Research Engineer / Scientist / Resident
KC Machine Learning Lab (ML2)
ML2 is looking for new members!
About KC Machine Learning Lab (ML2)
* ML2 is an independent research organization within KC, a semiconductor and display solutions company.
* 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.
* ML2 strives for diversity in all aspects, including but not limited to gender, race, and ethnicity.
* More info on ML2
- E-mail : contact@kc-ml2.com
- Research areas : https://www.kc-ml2.com/research
Link:
https://github.com/kc-ml2/recruit/blob/master/README_en.md
ML Research Engineer
Hodoo AI
Develop and implement Deep Learning algorithms in vision and quantitative data analysis.
Military exemption positions (MS degree holder) for Korean citizens are available immediately.
We are a startup based in Seoul, specializing in visual inspection systems and big data analysis.
Link:
hodooai.com
Machine Learning Scientist/Engineer
Tencent
We are a data team of Tencent Games (aka IEG). We support 200+ Tencent games with multi-billion annual revenues such as Arena of Valor (王者荣耀)， League of Legends, PUBG Mobile. We apply state-of-the-art technologies including knowledge graph, social networks, CV, NLP, recommender system to improve users' experience and optimize our marketing strategy. We have tons of data and a lot of problems to solve. We are looking for outstanding machine learning scientists/engineers to design new algorithms and build large-scale solutions to solve real world problems.
Qualifications:
- Master or PhD in a relevant field
- Experience in one or more programming languages such as Python/C++/Java/Go
- Experience with ML, CV, NLP or statistical/mathematical modeling techniques
Talk to me on wechat: wits002
Applied research scientists - Machine learning (4)
Mila
https://mila.quebec/en/2019/05/applied-research-scientist-machine-learning/
Link:
https://mila.quebec/en/2019/05/applied-research-scientist-machine-learning/
Machine learning managers (3)
Mila
https://mila.quebec/en/2019/05/machine-learning-manager/
Link:
https://mila.quebec/en/2019/05/machine-learning-manager/
(Senior) Machine Learning and NLP Engineer (2)
Iprova
We are seeking (Senior) Machine Learning and NLP Engineers to work with our talented team of researchers and software developers, and play a leading role in advancing our state-of-the-art technology.
We’re looking for people who can demonstrate exceptional expertise in the use of advanced machine learning in tasks related to Natural Language Processing. Skills in deep learning, graph theory, data mining and automated knowledge extraction will be helpful.
This is a technically challenging and entrepreneurial role that will give you the opportunity of working in an exciting, high energy, creative and very fast-moving start-up environment – at the same time as working alongside some of the world’s best-known technology companies. We offer exceptionally competitive packages and a fun yet focussed working environment.
Link:
iprova.com/recruitment/
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 Clips mobile app. We utilize both ML and Computer Vision technologies in our applications, and are doing so at an increasing pace.
Key Qualifications:
* 3+ years experience with CoreML, Metal Performance Shaders, Vision, AVFoundation, and Accelerate.
* Minimum 3 years experience using ML technologies (Keras, TensorFlow, PyTorch, Caffe) to tackle a variety of Computer Vision and other problems.
* Strong programming skills and experience with Objective-C or Swift, Python, and GPU programming (Metal, CUDA, OpenCL, or Vulkan).
* Experience doing rapid prototyping. Good intuition in assessing time versus complexity tradeoffs.
* Ability to discern whether a particular ML technology is viable for solving specific application problem for the Apple platforms.
* Experience with ARKit and SceneKit a plus.
* Experience with ML and CV for embedded systems (Arduino, RaspberryPi, Android) a plus.
* Excellent written and verbal communications skills.
* Able to collaborate and build productive cross-functional relationships.
Description:
We are looking for a self-motivated individual with strong technical, problem solving, and communication skills to work in a fast-paced environment. You have expertise in architecting and developing iOS and macOS applications or frameworks of significant scope. You have shipped iOS and/or macOS and/or tvOS apps using Apple ML core technologies (CoreML, Metal, Vision, Accelerate).
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 level of ML development and training effort required for a given application.
Link:
https://jobs.apple.com/en-us/details/200065453/sr-machine-learning-technologist-video-applications?team=MLAI
Machine Learning Scientist
Expedia - Montréal office
Are you passionate about solving real world problems with advanced machine learning methods? Do you want to have impact on a business? Do tools like TensorFlow and Keras sound intriguing?
We are a community of engineers who have effective relationships with many satisfied clients. We are committed to understanding all major business units intimately and we thrive to help drive and deliver business results.
Your contributions will affect millions of our customers and will have a direct impact on our business results. Our team's challenges include deriving value from sparse data, understanding and participating in large scale auctions and using behavioral and pricing data for personalization, and much more. Expedia has deep and rich data sets, many still untapped, and your real passion for the craft of machine learning algorithms has the power to unlock tangible business growth.
What you will do
You will be developing state of the art algorithms to power various aspects of highly complex business models
You can articulate and understand a business problem, identify challenges, formulate the machine learning problem and provide/prototype solutions
You will provide technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using machine learning and optimization methods.
You will collaborate extensively with internal partners, program management, and engineering team to ensure that solution meet business needs, permit valid inferences and have functional feasibility
You will collect and manipulate large volumes of data; build new and improved techniques and/or solutions for data collection, management, and usage
You will communicate results in a comprehensible manner to all levels of the company (field teams up to Snr. Management)
You will brainstorm with other team members
Skills and Requirements
Who you are
PhD or MS in computer science or equivalent quantitative fields with background both
Link:
https://www.jobsmtl.com/job-offer/909/machine-learning-scientist
Senior Software Developer - Microservices
B-YOND Montreal
For you, making software is not just about the code, it’s about user experience and craft. You love not only to make it work for every browser, but you’re ready to mentor your fellow developers to learn to do it themselves. You are curious about this weird AI thing and you’re ready to take control of those robots.
Your primary responsibilities will be...
- Developing and supporting services that support Web Applications solutions for Goliath-style external clients
- Work with your team to transform business requirement into real, working amazing software
- Help and mentor more Junior developers and your team to learn the many tricks of microservices architecture and distributed systems
- Participate as a full member of an Agile team doing breakdowns, code reviews and have the best fun while building the best software
What makes it challenging...
- Distributed team: timezones, get used to many
- Bleeding edge software in a cutting edge industry, get your gloves on
- PETA-level, nanosecond pace software and processes
What success looks like…
- High-fives and celebration cake
- Simple thanks and big gestures
- A customer that wants more of what you build
- The excited sales guy that we need to restrain because he loves our features so much he can't wait to sell them, but we can't restrain him, he sells a ton and we are all successful and eating more cake.
What makes it rewarding
- Working building the future of the networks, so your grandchildren will be using your code
- Working with people that are passionate about this stuff, like ‘I will travel the other side of the world to get my point across’ passionate
Skills and Requirements
Qualifications
The values we share...
- DREAM B-YOND. Forward-Thinking, Creative, Boldly Imaginative.
- Be AUTHENTIC. Transparent, Genuine, Self-Confident.
- DEBATE ANYONE. Fearlessly Vocal, Intellectually Stimulating, Thoughtfully Contrarian.
- B-UNSTOPPABLE. Resilient, Relentlessly Driven, Persistent.
- CARE to CREATE WISDOM. Non-ju
Link:
https://www.jobsmtl.com/job-offer/907/senior-software-developer-microservices
Research engineer in AI
Safran
https://safran.cooptation.io/candidate/job/818/71894278-a6f6-4eeb-887d-eff0144e4f69?src=lk&nl=88
Link:
https://safran.cooptation.io/candidate/job/818/71894278-a6f6-4eeb-887d-eff0144e4f69?src=lk&nl=88
Senior Full Stack Developer
B-YOND Montreal
Job Description
For you, making software is not just about the code, it’s about the user experience and the craft. You love not only to make it work, but you’re ready to mentor your fellow developers to learn to build it themselves. You are curious about this weird AI thing and you’re ready to take control of those robots.
The primary responsibilities…
- Developing and supporting Web Application solutions for external clients
- Work with your team to transform business requirement into real, working amazing software
- Help and mentor more Junior developers into learning the many tricks of good sound software design
- Participate as a full member of an Agile team doing breakdowns, code reviews and have the best fun while building the best software
- Work our magical UI/UX designer, our Subject Matter Expert, and our PO to translate stories and sublime them through code
The challenges...
- Distributed team: timezones, get used to many
- Bleeding-edge software in a cutting-edge industry
- Peta-level, nanosecond pace software and processes
What success looks like…
- High-fives and celebration cake
- Simple "Thank yous!" and big gestures
- A customer that wants more of what you build
- The passionate UI designer that forgets to get their tea, because they're too excited to see it work
What makes it rewarding...
- Working building the future of the networks, so your grandma will be using your code
- Working with people that are passionate about this stuff, like ‘I will travel the other side of the world to get my point across’ passionate
Skills and Requirements
Qualifications
The values we share…
- DREAM B-YOND. Forward-Thinking, Creative, Boldly Imaginative.
- Be AUTHENTIC. Transparent, Genuine, Self-Confident.
- DEBATE ANYONE. Fearlessly Vocal, Intellectually Stimulating, Thoughtfully Contrarian.
- B-UNSTOPPABLE. Resilient, Relentlessly Driven, Persistent.
- CARE to CREATE WISDOM. Non-judgmental, Thoughtful, Empowering.
The skills and experience that will help yo
Link:
https://www.jobsmtl.com/job-offer/906/senior-full-stack-developer
Data Scientist
B-YOND Montreal
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 solutions
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
- Working in some of the most data-driven industries that are actively looking to monetize and automate
- We are open to experimenting and trying new things. We give our scientists the freedom to innovate, explore, and create.
Skills and Requirements
How others describe you...
- Being a team player in the
Link:
https://www.jobsmtl.com/job-offer/448/data-scientist
Applied Research Scientist (Machine Learning)
InVivo AI - Montreal
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.
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.
What you'll do!
Your primary responsibility will be to work closely with our senior research team on the development and implementation of new algorithms. You'll also assist in the design of projects to address client objectives, drive the effective organization and interpretation of data, and convey capabilities and results to clients in a language they can understand. Finally, you'll assist in literature reviews and grant proposals, and help drive the creation of technical reports, presentations, and publications on behalf of InVivo.
Skills and Requirements
What we're looking for
We're open to hearing from candidates with all sorts of interesting backgrounds, but ideally you'll have some understanding of biology and/or drug development, and:
Strong programing skills (4+ years), including:
Python (mandatory)
C/C++ and/or Java (bonus)
Ease with Linux
Experience with Agile methodology
A minimum of 2-4 years experience in machine learning (industrial or academic), including:
A deep understanding of ML theory and practice (e.g. feature engineering, regularization, hyperparameter tuning, ensemble methods, CNNs and RNNs)
Proven experience conducting experiments and building and deploying machine learned solutions
Experience
Link:
https://www.jobsmtl.com/job-offer/899/applied-research-scientist-machine-learning
Senior Data Engineer
QuantumBlack - Montreal
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.
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
Mentoring and developing junior Data Engineers on engagements.
Skills and Requirements
Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
Commercial client-facing project experience is helpful, including working in close-knit teams
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 Dist
Link:
https://www.jobsmtl.com/job-offer/919/senior-data-engineer
Principal Data Scientist
QuantumBlack - Montreal
As a Principal Data Scientist at QuantumBlack in Montreal, you will solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine learning and statistical methods.
You will play a leading role in bringing the latest advances in deep learning to the world economy, collaborating with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models.
Role responsibilities
Identify Machine Learning R&D initiatives that have a high potential of applicability in industry.
Use the latest advances in Deep Learning, Reinforcement Learning, and AI, to solve business problems and derive key insights across various industry sectors including Formula 1, pharma, automotive and high-tech.
Work with Quantumblack leadership and Client executives to understand business problems and map them to state-of-the-art analytics and AI solutions.
Work with the recruiting team to build an R&D focused team of data scientists in Montreal.
Build and maintain strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods.
Mentor other data scientists and help them grow their knowledge and skills.
Work closely with Data Engineers, Machine Learning Engineers and Designers to build end-to-end analytics solutions for our clients that drive real impact in the real world.
Influence and help shape the R&D roadmap for QuantumBlack, especially on Deep Learning.
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering, business and design.
Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world.
Skills and Requirements
Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field.
Programming experience in languages such
Link:
https://www.jobsmtl.com/job-offer/918/principal-data-scientist
Data Scientist
QuantumBlack - Montreal
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
* Work on complex and extremely varied data sets from some of the world's largest organisations to solve real world problems
* Develop data science products and solutions for clients as well as for our data science team
* Write highly optimized code to advance our internal Data Science Toolbox
* Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
* Add real-world impact to your academic expertise, as you are encouraged to write 'black' papers and present at meetings and conferences should you wish
* Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
* Work on complex and extremely varied data sets from some of the world's largest organisations to solve real world problems
* Develop data science products and solutions for clients as well as for our data science team
* Write highly optimized code to advance our internal Data Science Toolbox
* Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
* Add real-world impact to your academic expertise, as you are encouraged to write 'black' papers and present at meetings and conferences should you wish
Skills and Requirements
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics or a related field
Experience in statisti
Link:
https://www.jobsmtl.com/job-offer/917/data-scientist
Senior Data Scientist
QuantumBlack - Montreal
Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field
Programming experience in languages such as R or Python
Experience in implementing statistical modelling and machine learning methods
Experience in applying data science methods to commercial problems
Some R&D experience in Machine Learning, Statistics, or Reinforcement Learning. Experience with Deep Learning frameworks such as Tensorflow or PyTorch is preferable but not essential.
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from
Skills and Requirements
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, experimenting with new approaches, learning and improving to move forward quickly.
Link:
https://www.jobsmtl.com/job-offer/920/senior-data-scientist
Research Scientist in Machine Learning
Samsung Montreal
Samsung Electronics Canada is seeking a Research Scientist in Machine Learning to join the SAIT AI Lab (SAIL) Montreal, a newly established academic-style research lab whose mission is to advance our fundamental understanding of deep learning technology and its applications. The candidate is expected to conduct world-class research in machine learning.
Responsibilities
- Conduct original research in machine learning related to (but not limited to): optimization and generalization in machine learning, with applications to structured data such as in machine translation or speech recognition.
- Publish academic papers in leading scientific conferences and communicate their results.
- Collaborate with other lab members and visitors.
Skills and Requirements
- Has a Ph.D. in computer science or related field (or is about to get one).
- A proven publication record in top machine learning venues (NIPS, ICML, ICLR, AISTATS, etc.)
HOW TO APPLY:
Please email:
- CV (include your Google scholar profile)
- motivation letter
- name, affiliation and email address of three recommenders who could be contacted
to jobs.sail.montreal AT gmail.com .
Link:
https://www.jobsmtl.com/job-offer/483/research-scientist-in-machine-learning
Healthcare/Biology Machine Learning Researcher
Flagship Pioneering
Flagship Pioneering is a Boston-based biotech creation company that has started 30+ biotech companies over the past 17 years in medicine, agriculture, and sustainability. We are looking for machine learning scientists who want to work in fast-growing startups in biotechnology and create new solutions to challenges in medicine and sustainability. Experience in biotech a plus but not neccesary.
Link:
https://www.flagshippioneering.com/
Solutions Engineer
Samasource - Montreal
As a Solutions Engineer at Samasource, you’re a strong technologist & roll-up-sleeves engineer who enjoys working directly with customers to solve challenging technology problems in AI. You will partner with our most strategic customers as a technology guide through the entire customer journey from initial requirements, to delivery of customer architectures and technology solutions.
Responsibilities:
-Consult with customers, designing computer vision and training data strategies
-Be a technical product expert in our SamaHub technology platform
-Implement, deploy and support customer-specific solutions or integrations, if required
-Become an expert in the full workflow for AI training data, from data acquisition and enrichment through quality and verification.
-Partner with Sales, PM and Delivery teams to implement & deliver customer solutions
-Design solutions that artfully balance the symbiosis between technology and humanity
Skills and Requirements
-Development experience in Python, NodeJS or other web development languages
-Experience with REST API and/or pub/sub integrations
-Cloud and hybrid software deployment architectures (i.e. containers, 12 factor app, scaling)
-Experience with machine learning and computer vision. TensorFlow is a plus
-Strong organizational skills and prioritization, balancing multiple challenges at once
-Comfortable with demos and presenting at any level: engineer, data scientist, executive, meetups, demos, conferences
-Comfortable at any technical level of zoom from semicolons to technology strategy
-Entrepreneurial mindset. Listening to understand customers’ needs and responding with solid technical guidance and implementation
-Comfort moving quickly. If you believe CI/CD is not just an automated test runner, but directly fuels agility, innovation and technology collaboration, you’re in the right place!
-Willingness to support global team and be available during various time zones
Link:
https://www.jobsmtl.com/job-offer/929/solutions-engineer
Head of Artificial Intelligence and Deep Learning
Samasource - Montreal
Engineering at Samasource:
The Samasource Engineering team is focused on delivering an integrated solution solving the most complex ML solutions for Fortune 500 companies. We use advanced Software Engineering practices to build scalable, secure and efficient solutions covering multiple aspects of ML and AI, from data collection to annotation and building and operating ML models.
What You’ll Do:
With a commitment to the success of our customers, you will use your outstanding development skills to deliver compelling AI and computer vision solutions for the top Fortune 500 companies. You will lead and grow our Montreal office and build an incredible team in charge of all aspects of development: design, quality, and delivery. Through proper planning and delivery, you will collaboratively work with Product Management and your scrum team to deliver the best products and solutions to our customers.
Skills and Requirements
-Masters or PhD in computer science, artificial intelligence, or equivalent relevant experience
-Lead multiple service-oriented large scale ML-related projects from functional to the implementation plan
-Has a proven experience building, growing, and leading high-performing teams of data scientists and/or engineers
-Has a passion for Mentoring and coaching other engineers
-Think in terms of Incremental delivery and experience in Agile development
-Experience with the following technologies:
-Proficient in Python and general OOP development
-Experience with deep learning frameworks such as TensorFlow, Pytorch, Theano, etc… and scientific computing libraries such as numpy, pandas, scikit
-Scientifically develop and prototype new machine learning techniques, and run experiments to improve comprehension and model efficiency rate
-Proficient knowledge of state-of-the-art techniques in machine learning and deep learning at scale and benchmarking
-Strong understanding of computer architecture
-Be able to design, develop, test, and optimize web applications
Link:
https://www.jobsmtl.com/job-offer/928/head-of-artificial-intelligence-and-deep-learning
Senior DevOps Engineer, Cloud Infrastructure
Samasource
Engineering at Samasource:
The Samasource Engineering team is focused on delivering an integrated solution solving the most complex ML solutions for Fortune 500 companies. We use advanced Software Engineering practices to build scalable, secure and efficient solutions covering multiple aspects of ML and AI, from data collection to annotation and building and operating ML models.
What You’ll Do:
With a commitment to your customers, you will use your outstanding development skills to deliver compelling solutions in an incremental, lean, and self-driven environment.
Closely embedded in your scrum team, you will be in charge of defining and executing the vision of automating and orchestrating the delivery of our AI service ecosystem. Through proper planning and delivery, you will collaboratively work within your scrum team to deliver the best mission-critical service to our customers.
Skills and Requirements
-Expertise in Automation frameworks, such as Terraform, Ansible, Chef or Puppet
-Expertise in one or many major cloud service providers: AWS, GCP or Azure
-Proficient with build pipeline, build automation and continuous delivery
-Experience with OOD/OOP software engineering
-Understanding of and ability to balance the pros and cons of micro-services, SOA and monolithic applications
-Appreciation for incremental delivery and experience in Agile development
-Understanding of Cloud Infrastructure Engineering (AWS, GCP, etc.), virtualization technologies, network and storage, and ability to explain the strengths and weaknesses of one design choice over another
-Understanding of Data Engineering infrastructure
-Have a service development methodology rooted in the use of metrics and data to guide and prioritize your work
-Experience with at least one language on the back-end (Golang, C#, Java)
-Ability to design, develop, test, and optimize web applications
Bonus points:
-Comfortable working with a distributed team
-Familiarity with network connectivity and content de
Link:
https://www.jobsmtl.com/job-offer/927/sr-devops-engineer-cloud-infrastructure
Senior Software Engineer (Front End)
Samasource - Montreal
Engineering at Samasource:
The Samasource Engineering team is focused on delivering an integrated solution solving the most complex ML solutions for Fortune 500 companies. We use advanced Software Engineering practices to build scalable, secure and efficient solutions covering multiple aspects of ML and AI, from data collection to annotation and building and operating ML models.
What You’ll Do:
With a commitment to the success of our customers, you will use your outstanding development skills to deliver compelling solutions powering the next generation of 2D and 3D image annotation for training AI/ML learning algorithms. You will own all aspects of software development: design, quality, and delivery. Through proper planning and delivery, you will collaboratively work with Product Management and your scrum team to deliver the best UI experience and features to our customers.
Skills and Requirements
-10y+ Hands-on software development experience
-Implement complex Angular applications, directives, controllers, services
-Writing tested and documented TypeScript, HTML, and CSS
-Experience with centralized state management
-Familiarity with testing frameworks (E.g. Jasmine)
-Think in terms of incremental delivery and experience in Agile development
-Understanding backend application development and the ability to explain the strengths and weaknesses of one design choice over another
-Prior experience with the following technologies:
-Expert in any one of the modern JavaScript MV-VM/MVC frameworks
-At least one modern language on the back end (NodeJS, Golang, C#, Java, Python)
-Strong expertise with HTML, CSS.
-Good understanding of AJAX and JavaScript Dom manipulation Techniques
Bonus points:
-You have held positions as mentors or teachers
-Data modeling and SQL querying experience
-Comfortable working with a distributed team
-Experience with designing and implementing SOA
-UX background
-Writing cross-browser compatible code
Link:
https://www.jobsmtl.com/job-offer/925/senior-software-engineer-front-end
Senior DevOps Specialist
StradigiAI - Montreal
Do you want to join a leading artificial intelligence solutions provider? Stradigi AI is looking for a bright and innovative DevOps Lead to join our fast-growing team. In this role, you will be reporting directly to the VP, Technology, and you’ll work collaboratively with software engineering to deploy and operate our systems. You will help to automate and streamline our operations and processes. You will also build and maintain tools for deployment, monitoring, and operations, as well as troubleshoot and resolve issues in our dev, test and production environments.
Responsibilities:
- Work directly with the DevOps and QA teams to test system integrity;
- Design and implement build, deployment, and configuration management;
- Test implemented designs;
- Build and test automation tools for infrastructure provisioning;
- Handle code deployments in all environments;
- Monitor metrics and develop ways to improve;
- Provide technical guidance and educate team members and coworkers on development and operations;
- Brainstorm for new ideas and ways to improve development delivery;
- Consult with peers for feedback during testing stages;
- Build, maintain, and monitor configuration standards;
- Maintain day-to-day management and administration of projects;
- Manage CI and CD tools with the team;
- Document and design various processes; update existing processes;
- Improve infrastructure development and application development;
- Follow all security best practices and procedures as established by the company.
Skills and Requirements
- Strong background in Linux/Unix administration;
- Experience with automation/configuration management using either Puppet, Chef or an equivalent;
- Experience with Jenkins;
- Experience with Docker, Ansible, and Kubernetes is a plus;
- Ability to use a wide variety of open-source technologies and tools, as well as cloud services (experience with AWS is required);
- Strong experience with SQL and MySQL (NoSQL experience is a plus);
- Working u
Link:
https://www.jobsmtl.com/job-offer/905/senior-devops-specialist
Senior Machine Learning Scientist
Hyperfine Research
We are looking for talented Scientists with applied experience in the fields of Computer Vision and Machine Learning to join us. This role is best suited for scientists interested in continuing to develop new machine learning algorithms while also having a direct and immense, real-world impact.
Responsibilities
• Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
• Train various deep learning models including, but not limited to, classification detection, segmentation, reconstruction, and generative adversarial networks.
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
• Build automated solutions for large-scale, patient-facing, clinical problems.
• Formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
• Work independently and with a minimum of supervision.
Qualifications & Experience Description
• Minimum:
o Experience in Computer Vision, Machine Learning or Data Mining.
o Programming experience in one or more of the following: TensorFlow, PyTorch, Caffe.
o Ability to design new algorithms for practical problems on real-world datasets.
• Good to Have:
o MS or PhD in Computer Science.
o Relevant work experience, including full time industry experience as a scientist in a lab.
o Experience with 3D medical datasets, medical imaging, or MR image reconstruction.
o Experience with hyper-parameter optimization and algorithm benchmarking.
o Data science skills (i.e. big data analytics, data mining architecture design).
o Contribution to research communities and/or efforts, including publishing papers at conferences such as CVPR, NIPS, ICML, MICCAI etc.
Senior Back End Developer
StradigiAI - Montreal
Do you want to join a leading artificial intelligence solutions provider? Stradigi AI is looking for Senior Back-end Developer for a permanent job based in Montreal. In this role, you will be responsible for the implementation of extensible APIs and back-end solutions design. Your focus will be to create scalable solutions, by sharing your vision and expertise on software architecture. You will work closely with a team of back-end developers and when making technical decisions, with our senior software architect.
Responsibilities:
- Design, develop and build software architecture and optimize their deployment;
- Develop RestFul Web service & microservices;
- Create and implement unit tests;
- Select the best technologies and frameworks to create solutions;
- Demonstrate a clear understanding of the business implications of architecture decisions;
- Contribute with updates to existing systems, including carrying out bug fixes and enhancements to the functionality of existing software;
- Work hand-in-hand with our research scientists and developers to make models more efficient;
- Execute performance reviews with team members; offer constructive feedback and advice to team members.
Skills and Requirements
- A minimum of 7 to 10 years of back-end development experience;
- Bachelor’s Degree in Computer Science, Software Engineering or a related degree;
- Excellent knowledge and demonstrated experience with Node.js;
- Basic knowledge of Python is a must;
- Angular 6-7 (Full Stack) will be considered an asset;
- Experience working with AWS;
- Familiarity with API building, good understanding of Machine Learning, REST and microservices architecture;
- Problem solving and analytical skills;
- Ability to effectively prioritize and execute tasks in a fast-paced environment;
- Experience with data security will be considered an asset;
- Knowledge of container-based deployment will be considered an asset.
What we offer:
- Group Insurance and 3% company contribution to RRS
Link:
https://www.jobsmtl.com/job-offer/904/senior-back-end-developer
Data Scientist - Multilingual
StradigiAI - Montreal
Do you want to join a leading artificial intelligence solutions provider? Stradigi AI is looking for bright and innovative Data Scientist with experience in Machine Learning to join our fast-growing team. This is the perfect opportunity for the successful candidate to become a part of an energetic team that will implement our AI pipelines for our clients and strive to ensure clients are getting the best in AI performance.
Responsibilities:
- Create ETL and data transformation internal libraries;
- Benchmark Stradigi AI’s Machine Learning algorithms against the current state of the art;
- Build a Machine Learning (ML) pipeline from data ingestion through solutions for specific use cases;
- Leverage ETL and Big Data tools to develop an efficient and accurate data workflow;
- Apply a wide variety of Machine Learning and Deep Learning algorithms to real-world datasets;
- Work closely with Researchers and AI Developers to ensure data and Machine Learning models are being used effectively;
- Analyze and document ethical implications of applications of data science and ML pipelines.
Skills and Requirements
- 3+ years of experience in Data Science / Machine Learning;
- University degree in a quantitative discipline - Computer Science, Mathematics, Physics, Engineering, or similar;
- Experience with Machine Learning (including Deep Learning) in Natural Language Processing;
- Excellent knowledge of Brazilian Portuguese is a must, both spoken and written;
- Excellent understanding of statistics;
- Industry experience with data visualization tools (Matplotlib, d3.js);
- Excellent working knowledge and experience with Production ready Python;
- Comfortable using Scikit learn, Numpy and 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;
- Understanding and experience in other domains such as image and video understanding, prediction, and/or Recommender Systems will be conside
Link:
https://www.jobsmtl.com/job-offer/903/data-scientist-multilingual-french-english-brazilian-portuguese
Python Developer
StradigiAI - Montreal
Looking to join a leading artificial intelligence solutions provider? Stradigi AI is looking for a Python Developer to join our fast-growing Product team. You will interface with the AI Developers on the Research team so new algorithms and pipelines can be consumed by our Platform. You will also support the back-end development on the Product team.
Responsibilities:
- Work hand-to-hand with AI Developers and Application Architects to develop production-ready code;
- Implement best practices in designing and developing Stradigi AI’s machine learning technology stack;
- Develop APIs for machine learning;
- Create and implement unit tests.
Skills and Requirements
- 5+ years of development experience;
- Bachelor’s degree in Computer Science, Software Engineering or a related degree;
- Excellent knowledge of Python;
- Experience with Linux environments;
- Experience developing web applications;
- Knowledge of object-oriented programming, principles and design patterns;
- Data-modelling skills. Confidence in designing, implementing and optimizing large-scale and distributed data models, using SQL and NoSQL DBMS;
- Deep experience with object-oriented platforms like Java and .Net is a very strong asset;
- Experience with unit testing. TDD and BDD are assets;
- Experience building and integrating applications in a service-oriented ecosystem;
- Good service-oriented architecture understanding is an asset;
- Understanding of the “microservices architecture” main concepts;
- Experience building and consuming REST APIs;
- Good experience with UML in order to be part of a design-driven team;
- Problem-solving, detail-oriented, and analytical skills;
- Ability to effectively prioritize and execute tasks in a fast-paced environment;
- Knowledge of container-based deployment will be considered an asset.
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;
-
Link:
https://www.jobsmtl.com/job-offer/902/python-developer
Entrepreneur-in-Residence (Machine Learning and Artificial Intelligence)
TandemLaunch - Montreal
TandemLaunch is a unique Canadian start-up studio. We create cutting-edge technology companies based on research taken straight from major university labs. We focus on commercializing innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, and operate all portfolio companies on-site in our Montréal, Canada workspace.
We invite engineers and scientists interested in starting their own technology startup to come work with us for 18 months. During that time we help them secure proprietary university inventions/IP, invest $600k into their company, help them build out a team, build a prototype, and raise $1-5M in venture capital financing to become an independent company. They then become a manager (and co-owner) of this new independent startup.
85% of our companies have successfully raised outside venture capital with an average raise of $2.5M.
Skills and Requirements
> PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, or related field.
> Experience with frontier topics in machine learning, artificial intelligence, and the relevant platforms (e.g. TensorFlow) and coding languages (e.g. Python).
> Strong interest in starting your own cutting-edge technology startup and a hacker personality with a demonstrated record of building new things!
Link:
https://www.jobsmtl.com/job-offer/930/entrepreneur-in-residence-machine-learning-and-artificial-intelligence
Machine Learning Developer
Unity Techcnologies - Montreal
In this role, you will use your machine learning and natural language processing skills to contribute to the creation of new “smart” workflows in Unity. You will be joining the Unity Labs team, comprised of talented folks in search of new cutting edge methods to author content and help storytellers.
Machine-learning based approaches to content creation are poised to redefine how artists work, and how stories are told. By applying these groundbreaking methods to Unity workflows, you will be part of the next revolution in digital content creation.
In this role, you will be asked to come up with novel ways of interacting with virtual worlds, including natural-language understanding, knowledge engineering and representation, search, and AI-driven content creation. Unity’s award-winning 3D engine, and its huge reach into many industries, it is the perfect place to be to influence and contribute to the future.
Responsibilities
-Use machine-learning approaches to build and use a knowledge system
-Write various software APIs to interface with knowledge systems
-Contribute to the Unity Editor by writing UI components with the help of our designers
-Write, train and integrate neural-nets, including variational auto-encoders and generative adversarial networks
Skills and Requirements
Requirements
-Experience with TensorFlow or PyTorch required
-Ability to write and train successful models
-Experience with any of the following languages: C++, C#, Python
Bonus points
-Unity or game development experience is a bonus
-Experience with natural language processing techniques, Neo4J graph databases and / or generative adversarial networks
-Inquisitive minds with an appetite for discovering things: definite bonus
Link:
https://www.jobsmtl.com/job-offer/893/machine-learning-developer
AI Research Scientist - New York
Two Sigma
See link for description. Please find Two Sigma employees at the conference for more information.
Link:
https://careers.twosigma.com/careers/JobDetail/New-York-New-York-United-States-AI-Research-Scientist/5163
Data Scientist
AVIVA Insurance
Application of ML to General Insurance. Help us solve challenging problems facing the insurance industry.
Active use cases for:
- Generalization Analysis for Insurance Price Prediction
- Causal Inference
- ML Explainability and Interpretability
- Experimental Design
- Information Retrieval
- Machine Vision
Postdoctoral Fellow positions at lions@epfl
EPFL
The LIONS group at EPFL has several openings for postdoctoral fellows for research in machine learning and information processing.
Please see our research interests at
https://lions.epfl.ch.
We are looking for candidates 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.
If you are interested, we can meet In person during the conference until Thursday evening. Please email me with your CV or message me on Whova to get things started.
Link:
https://groups.google.com/forum/m/#!category-topic/ml-news/postdoctoral-position/XTc7bQiq5PQ
Machine Learning 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.
As a Machine Learning Engineer, 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.
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
Requirements
- 4+ years of either machine learning development experience or related experience writing and optimizing applications in HPC, scientific libraries, compilers, digital signal processors or GPUs.
- Deep experience with C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
Differentiators
- Masters or PhD in related computationally intensive science or engineering field
- Experience with C/C++, parallel programming and knowledge of computer architectures
- Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe and/or PyTorch
- Excellent communication & presentations skills and comfortable in a customer-facing environment
Link:
Http://Graphcore.ai
Machine Learning 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.
As a Machine Learning Engineer, 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.
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
Requirements
- 4+ years of either machine learning development experience or related experience writing and optimizing applications in HPC, scientific libraries, compilers, digital signal processors or GPUs.
- Deep experience with C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
Differentiators
- Masters or PhD in related computationally intensive science or engineering field
- Experience with C/C++, parallel programming and knowledge of computer architectures
- Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe and/or PyTorch
- Excellent communication & presentations skills and comfortable in a customer-facing environment
Link:
http://graphcore.ai
Senior Speech Scientist
Wayfair
Interested in joining a new team and from the ground up and building solutions with minimal legacy code? We are building the speech and language solutions for Wayfair products and services.
As a Machine Learning Scientist in our Speech team, you will be responsible for building and improving to our speech recognition models.
Link:
None
Manager, Applied Science
Amazon
Amazon Flex is re-imagining what it means to work, and we need your help. We're in search of an applied science leader to form a new team, guide our product strategy and roadmap, and ensure we're solving machine learning problems around classification, language understanding and business optimization.
Flex (flex.amazon.com) is a gig economy program that lets anyone become their own boss (a "delivery partner") and set their own schedule, by delivering packages to Amazon customers. The Flex app coordinates delivery partners' work with Amazon's cutting-edge logistics technologies. It's the home to every feature a delivery partner would need: on-boarding, delivery scheduling, routing and navigation, tracking their earnings, and more. Delivery partners are a key ingredient in ensuring a great experience for Amazon's customers, and we're building features to engage with our partners like never before.
Do you enjoy...
· Directly impacting how customers experience your products?
· Leading a major change in how people are recognized for their work?
· Working alongside creative, fun and motivated teammates?
· Solving complex problems at massive scale?
· Anticipating the next big problem to solve?
Then join the team.
BASIC QUALIFICATIONS
· A Masters Degree in Computer Science, Math, Statistics, Engineering, or related field
· 6+ years of Applied Science research experience in related industry
· 3+ years of people management experience
· Experience in building and maintaining mission-critical services
· Experience managing teams with both software engineers and applied scientists
· Strong technical skills and has hands-on experience with the latest deep learning framework such as TensorFlow, MXNet, and Keras
· Proficient in at least one of the common programming languages, e.g., Python and Java
· Familiar with large scale data processing technology such as Hadoop and Spark
· The ability to comfortably and confidently present to all levels within the enterprise and to work
Link:
https://www.amazon.jobs/en/jobs/822623/manager-applied-science
Senior Applied Scientist - Machine Learning
Amazon
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with ML and Operations Research scientists as well as scientists from other disciplines (e.g. economics and statistics) in a collegial environment with a clear path to business impact. You will be responsible for developing new predictive and optimization models and algorithms for key applications. You will be expected to be a thought leader as we chart new courses with our delivery support technologies. Successful candidates will have a deep knowledge of competing statistical and machine learning methods for large scale prediction problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.
BASIC QUALIFICATIONS
· PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning
· 6+ years of applying machine learning for solving real-world problems in industry
· Proficiency in C/C++, Java, or Python
· Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn)
· Past delivery of large-scale ML solutions for complex business problems
· Outstanding written and verbal communication skills
PREFERRED QUALIFICATIONS
· Publications in top ML conferences or journals
· Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)
Link:
https://www.amazon.jobs/en/jobs/785058/senior-applied-scientist-machine-learning
Machine learning intern
Borealis AI
https://www.borealisai.com/en/careers/employment/machine-learning-intern/
Link:
https://www.borealisai.com/en/careers/employment/machine-learning-intern/
Research Scientist in Optimization & Machine Learning
Air Liquide R&D Computational Data Science
The R&D Data Science group at Air Liquide has an opening for a Data Scientist. The researcher will have the opportunity to work on challenging problems focusing on customers, patients and operations. The researcher will also interact with multi-disciplinary teams composed of Business, IT and Digital resources that define operating models, and builds digital solutions. • Collaborate with the business to define needs and challenges, translate them into functional specifications, and develop solutions to address them. • Work with IT and external organizations to obtain online/offline data. Clean, and analyze the data. • Develop solutions relying on machine learning methods such as clustering, regression, classification, time series and deep learning. • Test and verify the performance of solutions with prototypes developed in R, Python, or similar development environments. • Support the development of industrial tools and their deployment in the business units. • Train team members and the business, thus ensuring sustainability of the solutions for Air Liquide. • Publish research in internal reports, at conferences and peer-reviewed journalsRequired Qualifications • PhD in Computer Science, Statistics or related field; 3+ years of industrial experience is preferred. • A strong background and experience in statistics and machine learning. • Strong programming skills in R and Python are required. Knowledge of Java, Javascript is a plus. • Experience in Adobe marketing cloud and SQL is preferred. • Excellent communication and interpersonal skills (written and oral). • Ability to work in a multi-disciplinary and international team
Link:
None
Applied Research Scientist **Let’s meet to talk informally about the role**
Domo
What is Domo?
Domo brings together all your people, data, and systems into one cloud-based software as a service system to accelerate the productivity of your organization. Domo is a platform that enables every user, whether they are a(n) executive, front line employee, or data scientist, to be more productive in leveraging their data to answer key questions and improve decision making.
Why Domo?
Domo is the data platform for everyone. That means that at Domo you will have the opportunity to explore and/or specialize in the data and problems from almost any industry or organization. Whether you are interested in developing sophisticated machine learning models to improve our users productivity with out product, designing experiments to uncover causal factors of business processes or software changes, or even working on analysis for a sales process that could benefit our business or be sold as a solution to our customers, you are only limited by your curiosity and drive to solve interesting problems.
Problems that make you excited to come to work:
At Domo you will have the opportunity to collaborate with internal and external teams to see your ideas have real world impact in the 4 focus areas of our team.
Automation
At Domo we leverage machine learning methods to enhance our users experience with our product (i.e. recommendation systems, semantic classifiers of data, etc), improve our users productivity (i.e. automated analysis), and domain specific machine learning methods (by industry of business unit).
Experimentation
Our experimentation initiatives utilize the scientific method to determine causality to inform our decision making. At Domo you will be able to leverage your scientific expertise to design and perform experiments that have tangible impact on our business and our product.
Decision Science
We leverage statistical inference to help us to generate hypotheses about our product and ...
see more at https://www.domo.com/company/careers
Link:
https://www.domo.com/company/careers
Machine Learning/ Deep Learning Scientist
Appzen
Hi, I’m Debashish, Director of AI at Appzen. We are looking for folks who want to push the boundaries of AI to match higher levels of human intelligence in a space where computer vision / NLP / Deep Learning / Reinforcement Learning all come together. We believe being an AI Scientist is an end to end job where you develop the solution from data analysis/ modeling / deployment of models that scales seamlessly.
If you share these values I would like to know your strengths and interests.
Link:
https://www.appzen.com
Data Scientist
Brex
Brex is building the new global standard for financial services, starting with corporate cards. We are designing the product from first principles, enabling us to have unparalleled features and a seamless, modern experience for our customers. With backing from top venture firms and industry veterans such as Peter Thiel and Max Levchin, Brex is one of the fastest-growing startups to date, and we’re looking for someone to help scale the company with incredible people across the board. As a data scientist, you will leverage your modeling and engineering experience to research and deploy data services and mitigate risk. Based in San Francisco, our team is committed to creating a driven and diverse company with ambitious people from wide-ranging backgrounds.
We are looking for people with a strong background in data science and engineering who can independently solve ill-defined data challenges from end to end. You should be technical, and be able to quickly pick-up new engineering skills needed. You should also be a strong communicator, able to work with internal stakeholders to take your projects to completion.
Link:
https://careers.brex.com/?gh_jid=4284573002
Machine Learning Engineer
PathAI Inc.
At PathAI we develop solutions in pathology that are modernizing healthcare, including detecting cancer and other diseases. We're applying our work to drug development, the clinical space, and as a global health initiative.
- Understanding PathAI’s products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
- Designing, developing and maintaining the machine learning infrastructure that powers PathAI
- Performing research and development of machine learning algorithms to expand product capabilities
- Participating in building new experiences, improve existing products, ensure quality assurance test designs and contributing to test systems architecture discussions
Link:
http://www.pathai.com
Machine learning data scientist
Wayfair
Wayfair’s Data Science team builds the algorithmic systems that drive our business.
With 7 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) determining how to implement AR technology to improve the shopping experience versus (2) optimizing diversity in the sales we highlight in a customer’s email. There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.
Link:
https://boards.greenhouse.io/wayfair/jobs/4291316002?gh_src=08d236832
Machine Learning Scientist
PathAI Inc.
At PathAI we develop solutions in pathology that are modernizing healthcare, including detecting cancer and other diseases. We're applying our work to drug development, the clinical space, and as a global health initiative.
- Understand PathAI’s products and services and introduce technology innovations with respect to functionality, performance, reliability, and scalability.
- Design, develop and maintain the machine learning infrastructure that powers PathAI
- Research and development of novel machine learning algorithms for the product platform
- Research and development of machine learning algorithms to expand product capabilities
- Participate in building new experiences, improve existing products, ensure quality assurance test designs and contribute to test systems architecture discussions
Link:
http://www.pathai.com
Senior Manager Data Science
Wayfair
your team
Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data
Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Ability to thrive in a dynamic environment where there can be degrees of ambiguity
Bonus points for intellectual curiosity and a strong desire to always be learning
Link:
https://www.wayfaircareers.com/jobs/4291065002?lang=en-us
Machine learning manager, computer vision team
Wayfair
Wayfair’s Data Science and Machine Learning teams build the algorithmic systems that drive our business. Specifically, the Computer Vision team aims to get the customer what they want without needing words. Take for example determining how to implement AR technology to improve the shopping experience. The projects that this team works on are driven from the ground up, so we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment. In addition, they work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.
Link:
https://boards.greenhouse.io/wayfair/jobs/4291815002?gh_src=462ff1402
Applied Scientist - AutoML
Amazon
Global Product Safety and Compliance is developing ML systems to prioritize product safety, compliance and defect inspections from the ground up, focusing on automated ML training approaches in order to scale effectively worldwide across all product categories.
If you are an AutoML researcher and want to make an impact to worldwide programs to improve Amazon customer experience, please ping me for a chat!
Research Scientist
ByteDance Inc.
Job Responsibilities:
- Improve core recommendation algorithm;
- Conduct cutting-edge research in recommendation related problems, and apply the technology to different business scenarios.
Requirements
Job Requirements:
- Published papers at top conferences like ICML, NIPS, ICLR, RecSys and KDD;
- Master of C/C++; have solid programming skills, good programming styles and working habits;
- Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Caffe or MXNet; familiar with their underlying frameworks and implementation mechanisms;
- Familiar with deep learning algorithms like CNN/RNN/LSTM/VAE;
- Able to solve problems independently, good teamwork and communication skills;
Preferred qualifications:
- Experience in contributing open sourced deep learning framework
- Familiar with the parallelization of sparse FTRL, FFM, and deep models on large-scale coefficient data
- Familiar with reinforcement learning;
- Experience in resource management and task scheduling with large distributed software like Spark and TensorFlow
Link:
https://job.bytedance.com/en/job/detail/31838
Machine Learning Engineer
Yandex
We are seeking both beginners and experienced specialists. We offer a unique opportunity to engage in cutting-edge applied and theoretical research, to publish your results at leading conferences and contribute to the world-level services and products of Yandex.
Link:
yandex.ru/jobs/team_umii_en
Applied Machine Learning Engineer
ByteDance Inc.
Job Description
1. Participate in the development of a large-scale recommendation system and machine learning platform;
2. Participate in the development and iteration of recommendation algorithms.
Requirements
1. Solid programming skills, proficient in C/C++, good programming style and work habits;
2. Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with its architecture and implementation mechanism;
3. Familiar with deep learning algorithms (CNN/RNN/LSTM, etc.);
4. Ability to solve problems independently, good sense of teamwork and communication skills;
5. Has experience with open sourced deep learning framework.
Preferred qualifications:
1. Familiar with the parallelization of Sparse LR, FFM, and deep models on large-scale data;
2. Experience in resource management and task scheduling with large scale distributed software (such as Spark and TensorFlow).
Link:
https://job.bytedance.com/en/job/detail/34409/
Applied Machine Learning Intern
ByteDance Inc.
Job Description
1. Improve core recommendation algorithm;
2. Conduct cutting-edge research in recommendation related problems, and apply the technology to different business scenarios.
Requirements
1. Published papers at top conferences like ICML, NIPS, ICLR, RecSys and KDD;
2. Master of C/C++; have solid programming skills, good programming styles and working habits;
3. Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Caffe or MXNet; familiar with their underlying frameworks and implementation mechanisms;
4. Familiar with deep learning algorithms like CNN/RNN/LSTM/VAE;
5. Able to solve problems independently, good teamwork and communication skills.
Link:
https://job.bytedance.com/en/job/detail/33244/
AI Software Research Engineer
Intel Corporation
As a member of our engineering community, you will be collaborating across organizations to enable next generation Intel machine learning technologies in the Microsoft ecosystem, including Windows Operating System and Microsoft Azure. You will contribute to exploration, architecture, development and debug on Intel CPUs, GPUs, VPUs and other accelerators for client and cloud platforms. Join our team and help us develop synergistic relationships with Microsoft engineers and collaborate with Intel business unit partners to delight our customers!
Among the skills we look for in our candidates include:
Machine Learning
C/C++
Parallel Computing Fundamentals
Computer Architecture
Operating Systems Fundamentals
Additional skills desired in candidate include:
User and Kernel Mode Driver Development and Debug
Intel x86/x64 architecture
Virtualization
Containers
Machine Learning Engineer
Qualcomm Inc
Join a growing team at Qualcomm focused on advancing state-of-the-art in machine learning with a mission to change the way chips are designed. You will get to work with 1000+ terabytes of new data every year and see your work directly impact billions of mobile devices around the world while inventing techniques that push the boundaries of traditional machine learning. You will also have the opportunity to work on applications ranging from classical ML to deep learning to reinforcement learning to bayesian techniques and beyond.
Knowledge of VLSI, SoC, or chip design is a plus but in no way required. Our team is quite interdisciplinary coming from backgrounds ranging from neuroscience, electrical engineering, computer science, AI, and economics. What binds us, is our passion to use data to solve challenging real world problems and to pave the way for artificially intelligent chip design.
We area actively recruiting for positions in our San Diego, Ca, USA; Cork, Ireland, and Bangalore, India offices.
Tokyo and Berkeley: Researcher position in ML/DL/CV/Robotics/HCI and more
Preferred Networks
Preferred Networks is a startup with ~260 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, NeurIPS, NAACL, CHI, etc. We are a silver sponsor of ICLR and ICML 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 1,024 NVIDIA Tesla P100 and 1,536 V100 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
Link:
https://www.preferred-networks.jp/en/
Machine Learning Manager
JPMorgan Chase
The Machine Learning Center of Excellence 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 part of 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. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will perform groundbreaking work in machine learning methods, and tailor them to banking applications including risk assessment, trading models, customer relationship management, and pricing models. You will work broadly across the firm’s lines of business to actively identify important business problems and formulate solutions. The machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, as well as maximum entropy models, and other models to be developed. Responsibilities may include recruiting, hiring, and team management.
PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science, and 8+ years of experience in a highly quantitative position.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
5+ 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. R and Matlab are also relevant.
Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
Familiarity with basic data table operations (SQL, Hive, etc.)
Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
Must be able to effectively communicate technical concepts and results to both technical and business audie
Link:
https://jobs.jpmorganchase.com/ShowJob/Id/189212/CIB-Machine-Learning-Center-of-Excellence-Machine-Learning-Manager-Executive-Director/
Sr. Machine Learning Engineer
JPMorgan Chase
The Machine Learning Center of Excellence 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 part of 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. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will develop new machine learning methods tailored to banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning. In addition to using and adapting existing models, you will be expected to develop new techniques especially suited to banking applications. The candidate will help in the identification and solution of new problem areas.
Responsibilities
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.
Collaborate with all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management.
Lead your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.
MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science, or similar BS with 2+ years of experience in a highly quantitative position.
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, J
Link:
https://jobs.jpmorganchase.com/ShowJob/Id/206914/CIB-Machine-Learning-Center-of-Excellence-Machine-Learning-Engineer-Vice-President/
Machine Learning Engineer
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 part of 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. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning.
Responsibilities
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.
Collaborate with all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management.
Lead your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.
MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. If BS only, 2-5 years of hands-on experience developing machine learning models.
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
Ability to develop and debug in Python, Java, C or C++. Proficient in git version control. R and Matlab are also relevant.
Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
Familiarity with basic data table operations
Link:
https://jobs.jpmorganchase.com/ShowJob/Id/153584/CIB-Machine-Learning-Center-of-Excellence-Machine-Learning-Engineer-Associate/
PhD, Postdoc and Research Scientist positions
King Abdullah University of Science and Technology (KAUST)
Research in optimization and/or machine learning. Publication in top venues (ICML, NeurIPS, ICLR, JMLR, SIAM journals, ...)
Link:
https://richtarik.org/i_join.html
ML Applied Scientist - Sensor+Health Data
Evidation Health
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.
Link:
Evidation.com/careers
Faculty (all levels)
King Abdullah University of Science and Technology (KAUST)
Assistant, Associate and Full Professor positions in Machine Learning. We are building an AI/ML center.
Link:
https://www.kaust.edu.sa/en/about/faculty-positions
Senior Research Scientist - Machine Learning for Personalization
Netflix
As Netflix continues to grow rapidly around the world, we face new and exciting challenges for our machine learning algorithms to solve so that we can build the perfect homepage for each member. We need to handle the scale and diversity of tastes of people around the world. We need to enable new user interface and interaction paradigms by making sure we use every piece of screen real-estate in an effective manner. We need to balance many factors such as: accuracy and diversity; discovery and continuation; exploration and maximization; recommendations and promotion; immediate engagement and long-term satisfaction. To do this we need to take our machine learning approach for creating the home page to the next level.
The Page Algorithms team is looking for a passionate and talented applied machine learning expert join us. In this role, you will lead the way by researching and developing of the next generation of algorithms used decide what content to show on the Netflix homepage. We are considering some big changes to our approach, so this is an extraordinary time for you to join to have a large impact.
As a Research Scientist at Netflix, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements for the homepage. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
Link:
https://jobs.netflix.com/jobs/867890
Director of AI research
ClimateAi
please see the link
https://bit.ly/2R5jcMN
Speech Recognition for Petroleum
Saudi Aramco
We want someone to help us building a speech recognition API for petroleum, geology, and geophysics domain. This includes building acoustic data set and SR models. This includes recognizing fields’ and reservoirs names
Link:
None
Research Scientist/Engineer
Dyson Ltd.
Multiple Job Openings for Research Engineers and Scientists in Robotics Research Team @ Dyson, UK and Singapore offices.
Please have a look at Dyson's career website:
https://careers.dyson.com/en-gb/search-results/?q=Robotics&page=1&minPage=1&maxPage=1&sort=Score
Feel free to send me a query, I am happy to help.
Link:
https://careers.dyson.com
PhD, postdoc, RA, visiting student position in NCC lab
SUSTech
Neural computing and control lab (NCC lab) is seeking for talented researchers or students who are interested in understanding learning in human brain.
1. Using reinforcement learning to predict human decision making, or imitate human learning of the reward function;
2. How the prediction error, reward function are represented in human brain ( using neuroimaging techniques);
3. Using active learning (feedback from human) to design the optimal stimualtion policy to human brain, and to manipulate the decision making behavior by tuning the reward function in human brain (using noninvasive brain stimulation)
Dr. Quanying Liu will be the PI of NCC lab from 1st of August, 2019. ( I am still a postdoc at CalTech now)
Quanying is attending ICML 2019 now. Welcome to all kinds of discussions, collaborations, or job applications.
Please feel free to contact me with quanying.liu@caltech.edu
Or WeChat: liuquanying123
Data Science Manager
Capital One
We are currently recruiting for Data Scientists to join our eccentric, diverse, and brilliant team in the DC area. 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 consumer/commercial data. We are looking for independent critical thinkers that understand risk and can use data to create visualizations, test machine learning models and build automated testing tools. #machinelearning #datascientists #visualization
Deep Learning Research and Engineering - Internship
NVIDIA
We offer a wide range of interships for master and PhD student.
Research and Industry oriented.
You are interested in low level optimization, high performance computations, model compression, DL frameworks improvements and various optimizations.
Feel free to reach out !
Deep Learning Researcher/Engineer
NVIDIA
My team is focused on deep learning optimization, how can you make training/inference always faster and more efficient.
We look for people who are not afraid to get inside the DL frameworks and low level implementations and find ways to optimize performance.
If you enjoy, one of the following i would love to chat with you:
- model compression
- low precision computation
- parallel computation
- memory efficient networks
- edge computation
- communication efficient multi node training
- sparse computation
- deep learning automations
- training and inference at scale
feel free to reach out !
postdoc
Univ of Alberta
We are setting up a new lab at the ECE Department, University of Alberta, working on exciting research topics in computer vision and machine learning. We are looking for exceptional Postdocs to join us. Ideally, you are a PhD with demonstrated ability to conduct high quality research in computer vision and/or machine learning, and have a track record of publications in top venues. The start date is flexible. The position is for 1-2 year(s) with possibility for renewal.
Potential candidates are requested to email their CVs to Li Cheng (lcheng5@ualberta.ca).
I am at the conference. Please feel free to come and talk with me.
Link:
https://www.ece.ualberta.ca/~lcheng5/
Data Scientist
New Knowledge
We’re building the next generation of machine learning tools for detecting malicious and inauthentic behavior online. Day-to-day you’ll work with a small, but rapidly growing team of researchers and data scientists to envision new solutions for protecting the integrity of online discourse and information. You'll collaborate with an international group of researchers and engineers at labs and universities all over the world to build scalable systems that brings those solutions life.
If you’re interested, feel free to reach out and please apply to the job posting using the link above.
Link:
https://boards.greenhouse.io/newknowledge/jobs/4289632002
Machine Learning Engineer
New Knowledge
We’re building the next generation of machine learning tools for detecting malicious and inauthentic behavior online. Day-to-day you’ll work with a small, but rapidly growing team of researchers and data scientists to envision new solutions for protecting the integrity of online discourse and information. You'll collaborate with an international group of researchers and engineers at labs and universities all over the world to build scalable systems that brings those solutions life.
If you’re interested, feel free to reach out and please apply to the job posting using the link above.
Link:
https://boards.greenhouse.io/newknowledge/jobs/4074219002
Quantitative Researcher
XTX Markets
XTX Markets is a leading electronic market maker. With just 120 employees we are trading $150bn of financial assets across the world daily. We regularly top global market maker ratings in several categories, showing stronger results than our much larger competitors.
We believe this is due to our focus on research which is truly at the heart of everything we do. As a quantitative researcher, you would be able to devise new models, test them using our cutting edge computational infrastructure and see your idea released into production without any unnecessary delays. We have access to huge datasets that allow us to develop complex models using modern techniques.
Our team is collaborative and has a flat structure. Our founder and CEO is the research lead and carefully follows all the research work.
Please email using the address provided or approach one of the XTX researchers at the conference for further enquiries.
Link:
https://www.xtxmarkets.com
Data scientist
American Express
My team (located in Phoenix, AZ) is looking for a data scientist with strong machine learning and data mining knowledge for developing, innovating and integrating machine learning models into the American Express Global Consumer Service Group.
We prefer phd but it is available to ms degree, too.
Please send me a message if you are interested in.
Link:
None
Scientist
Shell Street Labs
We are currently looking for 2 AI research scientists who will respectively work on Equity Volatility and Fixed Income RV/macro trading strategies. We employ everything from traditional quant finance, statistical and machine learning methods for alpha research and AI for reinforcement learning applied to self learning trading algos. We seek ambitious, self starting scientists with PhDs in mathematics, computer science, physics and engineering.
We are currently a team of 15 people and growing rapidly. We are an affiliate of a large Hong Kong based hedge fund- BFAM Partners - a very well respected player in volatility and credit trading (strategy classes that are not overcrowded with algos/systematic approaches). For the avoidance of doubt (oddly someone asked last year ) the positions are in Hong Kong.
Pm me if you are interested!
Product Development Director
Iprova
We are seeking a Product Development Director to work alongside our talented team of researchers and software developers, and lead the specification, planning and development of products that enhance and augment human creativity in business and technical applications.
We’re looking for dynamic, business minded, applicants who have a strong background in machine learning and linguistics, and who have had exposure to the use of ML and other algorithms to enhance or augment human creativity – perhaps through their work in relevant aspects of computational creativity. Expertise in the use of advanced machine learning in tasks related to Natural Language Processing is advantageous, and skills in deep learning, graph theory, data mining and automated knowledge extraction will be helpful.
This is a technically challenging, hands-on and entrepreneurial role that will give you the opportunity to work in an exciting, high-energy, creative and very fast-moving start-up environment, while also allowing you to work alongside some of the world’s best-known technology companies. We offer exceptionally competitive packages and a fun-yet-focused working environment.
Link:
iprova.com/recruitment/
Machine Learning Scientist
HEALTH[at]SCALE Technologies
HEALTH[at]SCALE is a rapidly growing healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. Our mission is to match the world’s patients to the right treatments by the right providers at the right times using bleeding-edge innovations in machine learning and artificial intelligence to drive precision delivery of healthcare. Our machine intelligence-based software platform and applications are in use by leading managed care organization to manage tens of millions of patients each day. HEALTH[at]SCALE powers some of the largest existing deployments of machine learning and artificial intelligence for healthcare use cases anywhere in the world, and offers breakthrough capabilities to improve the management of complex populations across complex provider networks through proactive and personalized decisions at critical points across the care continuum.
There are several things that are important to us as a company. We are committed to ensuring longer, healthier and happier lives for those around us. We continuously push the boundaries of machine learning and artificial intelligence. We take pride in engineering scalable and secure software systems and applications. We have a deep appreciation for user experiences and operational workflow constraints. We innovate persistently on new use cases and applications to solve major healthcare challenges and to improve the outcomes, quality, economics and accessibility of care. We are passionate about bringing together exceptionally talented individuals to drive the endless possibilities to improve healthcare.
Link:
https://healthatscale.workable.com/j/53D7B20B18
Senior Machine Learning Scientist
Hyperfine Research
Hyperfine (a 4Catalyzer Company) is a well-funded, rapidly growing medical technology company founded in 2014 by Jonathan Rothberg, PhD. Today, 90% of the world population does not have access to MRI. Hyperfine is on a mission to bring MR technology to every patient anywhere, anytime, regardless of income or resources. Hyperfine builds a breakthrough medical device that has never been built before - bridging cutting-edge electrical, mechanical and software engineering with artificial intelligence, thereby bringing down device costs, reducing device size, increasing usability. Hyperfine has a world-class team of physicists, engineers and scientists, whose focus is to build this innovative device that can save the lives of the ones we love and democratize medicine around the world.
Responsibilities
• Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
• Train various deep learning models including, but not limited to, classification detection, segmentation, reconstruction, and generative adversarial networks.
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
• Formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Qualifications & Experience Description
• Minimum:
o Experience in Computer Vision, Machine Learning or Data Mining.
o Programming experience in one or more of the following: TensorFlow, PyTorch, Caffe.
o Ability to design new algorithms for practical problems on real-world datasets.
• Good to Have:
o MS or PhD in Computer Science.
o Relevant work experience, including full time industry experience as a scientist in a lab.
Experience with 3D medical datasets, medical imaging, or MR image reconstruction.
o Experience with hyper-parameter optimization and algorithm benchmarking.
Link:
hyperfine.io
Data scientist for content analytics
Amazon
Looking for a data scientist to analyse Amazon prime video customers' data and produce insights for content team.
Neural Processor Research Scientist
Samsung
Join us! We are searching for researcher in deep learning to develop next generation architecture for neural processor units to be used in mobile devices, ADAS, and intelligent Samsung products.
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job%2FosPW7fw4
Research Scientists/-Analysts/AI-Specialists in Germany
IAV
IAV is a hidden champion of more than 7500 employees. Most car manufactures and their suppliers belong to our circle of clients. Only a strong engineering partner is able to help leading brands. That’s why working for the best of industry requires being best in class on your own, so we always strive for excellence.
Whereas IAV covers all kind of development, the job positions of this posting focus on time series analysis: Whether you call yourself a data scientists, data analyst or machine-learning specialist, you’ll find challenging use cases at our research and development teams that are supported by a large university network.
You’ll work on evaluation and development of methods in fields of data analytics, machine-learning, signal processing and modeling dynamic physical processes. Not only do we concentrate on offline algorithms to optimize mechatronic systems, we deploy methods for real time analysis, too: This integration into control units of state of the art powertrain solutions (e.g. combustion engines or hybrid or electric cars) is a common use case for us.
IAV offers business activities that might be unique in scale - and so are the professional scopes of our employees: Challenging and forward-looking tasks with a lot of space for your own ideas.
You’ll find our general job offerings at our career portal https://www.iav.com/karriere (showing more than 500 positions at the time of this writing): If you are interested in jobs concerning field of time series, take for example a look at
https://www.iav.com/karriere/jobs/mathematiker-technomathematiker-datascience/
https://www.iav.com/karriere/jobs/doktorand-data-analytics-schwerpunkt-ki/
If you recognize yourself in our motivations and want to talk about our time series tasks, feel free to connect at ICML 2019 by conference app.
Have a great ICML!
Philipp Körner
Link:
None
Data Scientist - Card Analytics Infrastructure
Capital One
The Capital One Card DS+ team is working continuously to innovate the way we handle data to transform every corner of our business through analytics, infrastructure, valuations, and strategy. We build human-centric experiences for moments that matter throughout the customer journey, and we do this by harnessing data, technology, and talent to propel our business forward. To accomplish this goal, we design, build, and maintain the appropriate solutions we use across Card to make smart decisions. We use the latest techniques in machine learning to build predictive models and utilize Big Data tools for cloud-based analysis. Through these techniques, we extract relevant insights from data to tackle a huge variety of business problems.
Link:
https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/McLean-VA/Data-Scientist_R72362
Manager, Data Science - Card Analytics Infrastructure
Capital One
The Capital One Card DS+ team is working continuously to innovate the way we handle data to transform every corner of our business through analytics, infrastructure, valuations, and strategy. We build human-centric experiences for moments that matter throughout the customer journey, and we do this by harnessing data, technology, and talent to propel our business forward. To accomplish this goal, we design, build, and maintain the appropriate solutions we use across Card to make smart decisions. We use the latest techniques in machine learning to build predictive models and utilize Big Data tools for cloud-based analysis. Through these techniques, we extract relevant insights from data to tackle a huge variety of business problems.
Link:
https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/McLean-VA/Manager--Data-Science_R72363
Data Scientist - Model Risk Office
Capital One
In Capital One’s Model Risk Office, we defend the company against the failure of models that are the foundation of our multi-billion dollar business and meet the needs of tens of millions of customers every day. Model failures happen in a fascinating nexus of people, management and incentive structures, processes, technology, feedback loops, and unexpected external events. It is our job to learn from past mistakes and develop techniques to avoid their repetition. We get broad enterprise visibility to a diverse array of modeling applications from Cybersecurity to Chatbots to Credit Risk, and directly advise and influence senior executives.
Today, Capital One is transforming its data infrastructure and modeling methodologies to build on its competitive advantage as a “Machine Learning company”. This gives us an unprecedented opportunity to cultivate best practices and project them throughout the company. The Model Risk Office curates business intent and serves as a center of excellence that drives R&D for tools and platforms that enable Analysts across the Enterprise to deliver business-critical analytics to the cloud while maintaining high standards for quality and risk management.
Link:
https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/McLean-VA/Principal-Associate--Data-Scientist_R75069
Applied Scientist - probabilistic graphs
Amazon
Global Product Safety and Compliance is building ML systems to understand customer feedback, identify root causes that sellers and vendors can resolve, to improve customer experience and reduce costs incurred by inventory owners.
If you have experience and research in probabilistic graphs, and motivated to apply your expertise to improve customer experience, we would like to chat with you!
Link:
None
Principal Machine Learning Engineer - Conversational AI
Zillow Group
About the team
The Conversational Assistants AI team, part of the overall Artificial Intelligence team, is responsible for the science and platforms that power automated conversational intelligent agents across Zillow Group websites and mobile apps. The intelligent bots converse with 200 million unique users per month supporting apartment tours, questions and answers for landlords, rental leases, and other natural language conversations for real-estate specific scenarios.
About the role
The Principal Machine Learning Engineer will design and build the next-generation intelligent agents that will power automated natural language conversations in real-estate. You will:
Participate in the technical direction for conversation assistants at Zillow Group
Build machine learning models and systems in natural language processing (NLP), natural language understanding (NLU), semantic understanding, and intent classification
Build real-time low-latency machine learning platforms
Be hands-on in technical feature development, design and code-reviews, prototyping
Enable applied scientists to iterate quickly and deploy NLP and NLU machine learning models into production
Who you are
Proven track record of successfully architecting and building highly available, low latency systems for high traffic applications
7+ years of experience as a software engineer
2+ years of experience building conversational intelligent agents
Strong knowledge of machine learning, NLP, and NLU
Familiarity with conversational bot integrations with Google Assistant, Alexa, and Siri
Bachelor's/Master's degree preferred
Link:
https://careers.zillowgroup.com/ShowJob/JobId/262122/Principal-Machine-Learning-Engineer-Conversational-AI
Postdoctoral Researcher
University of Tokyo / Japan Digital Design
Learning Mathematical Informatics Lab at the University of Tokyo and MUFG AI Studio(M-AIS) seeks postdoctoral researchers in the areas of machine learning (deep learning and probabilistic models) and related fields.
You will collaborate with Taiji Suzuki, assistant professor at University of Tokyo.
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.
MUFG(Mitsubishi UFJ Financial Group) is a Japan based Global financial service group which includes MUFG Bank (the biggest bank in Japan).
As a researcher, you will be able to access large-scale financial transaction data and powerful computer systems including GPUs.
Link:
http://ibis.t.u-tokyo.ac.jp/suzuki/
Data Scientist
Walmart
Are you passionate about creating a high-performance work environment by pioneering innovative people analytics and insights? Do you embrace any opportunity to drive business improvement by creating and applying machine learning products? If yes, this may be the team for you.
Link:
None
Senior Machine Learning Engineer
Rad AI
At Rad AI, we're using deep learning (both NLP and computer vision) 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:
http://jobs.lever.co/radai
ML Engineer
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.breezy.hr/p/9808f79eed69-machine-learning-engineer
ML Research Scientist
nPlan
We are looking for a Machine Learning Research Scientist to join our team in London, working on novel ways to produce graph embeddings and learning context from construction schedules. 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
Postdoc at ANU in humanising machine intelligence
Australian National University
The Australian National University has commenced a cross-campus project on Humanising Machine Intelligence.
We are looking for a postdoctoral fellow with a background in machine learning who is interested in working on ethical aspects of machine learning, in collaboration with the the ten Chief Investigators from computer science, philosophy, political science, sociology and economics, and the six postdoctoral fellows we have already appointed.
The position is available for 3 years, with potential extension for another 2, and is offered at academic level B (level C will be considered for experienced candidates).
Details of the project, the chief investigators, the postdocs already appointed, and a link to the job details, and means of applying are available here: https://hmi.anu.edu.au/join-us
The closing date is 7 July 2019.
I am at ICML if you wish to talk to me.
Link:
https://hmi.anu.edu.au/join-us
Data Engineer
Smartvid.io
We have lots of real data, with all its real attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience supporting ML by managing image, speech, and video data. We’re applying new deep learning models to customer data every day, and we want to better connect the results to our continual improvement cycle. The end product isn’t just cool - it’s helping our clients save lives.
Link:
None
Research Scientist and Engineer at Kuaishou Seattle AI lab
Kuaishou or Kwai inc.
openings in general AI areas, e.g.,
- video / audio / nlp understanding and generation
- recommedation system
- optimization and parallel training
- model compression
- game AI and reinforcement learning
- other ML directions
- etc.
Kuaishou is a Chinese short video sharing platform with 200 million daily active users. The current value estimate is 25 billion us dollars.
We can provide a competitive salary and sponsor all kinds of working permit VISAs if needed. You can choose to base in either China or Seattle.
Contacts
ji.liu.uwisc@gmail.com
Senior Data Scientist (Deep Learning)
Thomson Reuters
Thomson Reuters Labs is looking for data scientists with a passion for deep learning to join a growing team of deep learning specialists that has been driving transformation at the company. Our team has delivered a number of successful deep learning projects which have achieved human-level performance on complex natural language tasks. We are looking for data scientists excited to work at the forefront of deep learning technology in collaboration with other specialists, applying state-of-the-art models to challenging business problems.
See the link for full job description. Interested applicants, please feel free to contact Omar Bari (email provided above) or PM me to learn more about the role and team!
Link:
https://jobs.thomsonreuters.com/ShowJob/Id/266121/Senior-Data-Scientist-at-Thomson-Reuters-Labs/
Data Scientist - Deep Learning Researcher
Lab41
Lab41, an In-Q-Tel Lab, has a core mission to build capability, provide thought leadership, and develop cutting edge research to support the intelligence community. Through prototyping and engineering, Lab41 works on cutting edge machine learning problems that will inform the United States government. In addition to working with startup companies, Lab41 brings industry, academia, and government together to tackle difficult big data challenges in audio and speech, video and image processing, computer vision, natural language processing, and general machine learning.
Link:
https://gab41.lab41.org/
Senior Research Engineer - Promotion & Growth Algorithms
Netflix
Are you interested in researching new machine learning algorithms to create innovative approaches to a wide range of problems, as well as building large-scale, live-traffic experiments directly impacting and growing our 135+ million members worldwide? The Algorithm Engineering team is looking for a passionate and talented Machine Learning engineer to join us and lead the way in the research and development of the next generation of algorithms used to drive and grow the Netflix experience. To learn more about our research and analytics work, you can visit our research page at research.netflix.com.
In this position, you will conduct applied research by investigating, conceptualizing, designing, implementing, and validating new algorithms in a number of areas, such as:
• Finding and growing the best possible audience for newly released movies and TV shows, and in particular our expanding slate of original content. This year, Netflix will invest $6 billion in content and will create original content with great Hollywood talents like Angelina Jolie and Martin Scorsese, and you’ll work on the algorithms that help this new content find a great audience.
• Reaching out to our members about new recommendations in the most effective and impactful way, through emails and notifications. We deliver billions of messages per year, and you’ll work on the algorithms that decide what to send, when and to whom, to help our members find great content to watch.
• Growing our member base through programmatic advertising. Netflix spends over one billion dollars a year promoting our service and original content. You’ll work on new algorithms to maximize our growth that decide what to advertise, to whom, and for how much.
Link:
https://jobs.lever.co/netflix/679fd634-0eae-4e1e-a73a-aad3dc27f748
Manager - Machine Learning for Messaging & Marketing
Netflix
As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members find the content they’ll enjoy the most. In particular, how can we best reach our members? How can we provide the perfect recommendation, at the perfect time and on the perfect medium, for example through emails, notifications, or paid media?
We are looking for a leader for the Messaging & Marketing Algorithm Engineering team. You will lead the way for a team of machine learning researchers and engineers to develop the next generation of algorithms used to engage our members in the most effective and impactful way. Your team will optimize all the aspects of our messages and marketing: who, what, when, where, how, and why. Through these algorithms, you and your team will directly impact the way we deliver billions of messages per year and the way we advertise to promote our service and content. Your team will use a number of state-of-the-art machine learning techniques, including collaborative filtering, reinforcement learning, and causal inference; as well as developing entirely new techniques.
In this role you will build and lead a team of stunning researchers and engineers doing cutting-edge applied machine learning. You will help select and guide projects from end-to-end: idea to A/B tests to production. You will partner with people from many disciplines, including product managers, application engineers, user interface, content, and marketing teams. Your team will be responsible for the production algorithms, will innovate on them, and will develop new ones. To be successful, you need a strong management and machine learning background, and have proven software engineering & design skills. You will also need to lead in alignment with our unique culture, be great at empowering others, giving and receiving feedback, championing new ideas, and balancing the needs of both research and engineering.
Link:
https://jobs.lever.co/netflix/adc17508-8fb5-4152-8ce0-079ebe501676
Postdoc position
Bina lab
Bina lab (Computer Vision and Remote Sensing Laboratory) has an immediate opening for a machine learning and computer vision postdoctoral fellow funded by NSF, Amazon, and IBM. The postdoc will work under the supervision of Dr. Maryam Rahnemoonfar. This is a full-time one-year postdoctoral appointment with the possibility of renewal based upon satisfactory job performances and continuing availability of funds.
Required Qualifications:
PhD degree in computer science, computer engineering, electrical engineering or a related technical field
Strong background in computer vision, machine learning, and deep learning
Demonstrated programming skills in C++ and Python
Familiarity with one or more deep learning frameworks
Demonstrated ability to work independently as well as collaboratively
Excellent written and oral communication skills
Please send CV to Maryam.rahnemoonfar@tamucc.edu or come and find her at ICML to discuss about the details.
Link:
None
Fully funded PhD positions in ML
Bina lab
Bina lab (Computer Vision and Remote Sensing Laboratory) is looking for top-quality, highly motivated students in the areas of Machine Learning and Computer Vision. The successful candidate should have strong programming and mathematical skills. The subjects include hybrid models, generative models, network compression, spatial-temporal networks, recurrent neural network, AI for social good.
Successful candidates will be supported by RA funding from NSF, Amazon, and IBM.
Please send CV to Maryam.rahnemoonfar@tamucc.edu or come and find her at ICML to discuss about the details.
Link:
None
Data Scientist Deep Learning
GE Aviation Digital
The Data Scientist (Deep Learning/Machine Learning) will work in teams addressing statistical, machine learning and data understanding problems in Aviation industry. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Essential Responsibilities:
The Data Scientist will be part of a data science or cross-disciplinary team on Aviation industry, typically involving large, complex data sets. You will join the Machine Learning / Deep Learning team to develop and deliver predictive models for internal and external customers.
• Ensure proper definition of data needs, evaluation of data quality, and recommend appropriate statistical analysis.
• Optimize current data process flow, create reusable data processing module for frequent usage and process, and improve data process efficiency and stability.
• Proactively share information across the team to the right audience with the appropriate level of detail and timeliness.
• Build, train, tune and deploy various deep learning and machine learning models to solve a large variety of digital problems, including but not limited to computer vision, time-series, NLP and decision making and reinforcement learning.
Qualifications/Requirements:
• Master and above degree, majored in Computer Science, Mathematics, Statistics, Data Science, Automation, Computational Engineering, Bioinformatics.
• Understanding of fundamental data science concepts, e.g. feature selection/extraction, model validation, etc.
• Solid programming skills in Python; Concrete understanding and knowledge in machine learning and deep learning.
• Experience in design, develop and deploy machine learning and deep learning models to solve problems.
• Strong rational ability, communication and presentation skills.
• Experience in any of the fields is plus: NLP, Computer Vision, time series, reinforcement learning
Research Scientist in Machine Learning
SAIT AI Lab Montreal
SAIT AI Lab (SAIL) Montreal, a part of Samsung Samsung Electronics Canada, is seeking Research Scientists in Machine Learning to join a newly established academic-style research lab wholly located within Mila's corporate labs, whose mission is to advance our fundamental understanding of deep learning technology and its applications. The candidate is expected to conduct world-class research in machine learning.
Requirement: PhD in computer science or related field and a proven publication record at top machine learning venues.
Come talk to us at the Samsung booth (number 119) until Wednesday afternoon!
Link:
https://www.jobsmtl.com/offre-demploi/483/research-scientist-in-machine-learning
Machine Learning Infra Engineer / Engineering Manager in Ads Ranking Infrastructure
Facebook
We build machine learning infrastructure for the product team which uses the most advanced machine technology in Facebook - ads, from declarative and privacy aware feature framework to build a logical and semantic user entity graph, to co-developing PyTorch for ads scale, to automated model development and deployment for hundreds of models used in ads delivery systems serving News Feed, Instagram, Audience Network, Messenger, Marketplace ads, etc.
We are looking for experienced manager or engineer to help us scale our org or lead and contribute to build our next generation machine learning infrastructure for ads.
Data Scientist
TrueMotion
As a Data Scientist at TrueMotion, you will help develop machine learning/AI models that represent physical phenomena associated with both car and human movements using sensors in cell phones. You will help solve challenging real-world problems and assist in the development of innovative solutions driven by exploratory data analysis from complex, high-dimensional temporal datasets. Using knowledge of statistics, machine learning, programming and data modeling and simulation, the Data Scientist II works with senior team members and other departments to identify opportunities, pose business questions and make valuable discoveries leading to prototype development and product improvements.
You will:
Use knowledge of signal processing, sensor physics, sensor fusion and contextual data to retrieve relevant information for business insight analysis and modeling.
Use machine learning algorithms / deep learning / AI techniques to model driving behaviors and vehicle kinematics to solve business problems and deliver scalable solutions.
Collaborate and communicate the work within Data Science team and also present the work across teams.
Keep abreast of recent and upcoming research (white papers, conferences/ webinars), leveraging best practices and new ideas, and testing possibilities within existing products.
Link:
https://boards.greenhouse.io/truemotion/jobs/1657601
Data Scientist
Pearson
We are looking for a Data Scientist specializing in Deep Learning Methods 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:
Develop capabilities that contribute to the field of machine learning, using complex data sources including emerging content types and technology-based student interactions.
Execute on research and development to implement state of the art techniques such as deep learning, and reinforcement learning in educational applications.
Work collaboratively with team members and other stakeholders to build functional prototypes leading to new products and businesses.
Link:
https://pearson.jobs/centennial-co/data-scientist/CBD4CE1E0B284693B02EC688629FB0C0/job/
ML postdoc
BC
Looking for a cool postdoc in the Boston area? Want to know more? Lets chat at ICML. More info below.
The Department of Computer Science at Boston College invites applications for one postdoctoral position in any of the following areas:
parallel and distributed algorithms/optimization, proximal algorithms, convex and non-convex optimization, machine learning, statistics, graphical models, information theory, and related areas.
Start date after July 2019, but flexible. Duration up to 2 years.
The postdoc will have the freedom to shape his/her project.
Current and past projects can be found at www.jbento.info. Candidates are encouraged, but not required, to work on two major projects underway: one pertaining the comparison of large networks, and the other one dealing with machine learning problems that arise from biology research on the emergence of antibiotics resistance.
Required qualifications:
– Ph.D. in computer science, statistics, operations research, or applied mathematics. Applicants with a Ph.D. in Physics, Mathematics, Economics, and Biology are encouraged to apply, if proficient in some of the areas aforementioned.
– Advanced coursework in mathematics, statistics, optimization, machine learning, and signal processing
– Previous publications in top conferences in ML, AI, optimization, statistics, information theory, and related fields, e.g. ICML
– Experience mentoring or supervising graduates students
Applicants should submit the following via email to postdoc@jbento.info
– A letter with a short research statement explaining the applicant’s interest in and suitability for the position
– A CV (with references of all publication)
– Name, affiliation, and email address of at most 3 references. Reference letters mentioning the applicant's name can also be directly sent to postdoc@jbento.info
Research scientists, research engineer
Nuance
Speech recognition: acoustic modeling, language modeling, end-to-end; dialog systems, NLP. Research and engineering. Contact at ICML to talk details
Link:
jobs.nuance.com
Postdoc position
UCSD
I'm seeking an exceptional postdoc for my research group in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. I'm at ICML if you want to chat.
More details below:
This NIH-funded position includes research on multimodal data analysis, manifold representations of neural activity and multiscale modeling of motor learning. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and computational neuroscience, and includes collaboration with experimental neuroscientists. The position is open immediately as of August 2019.
Qualifications: Applicants should have (or expected to get in a near future) a Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants should have strong quantitative and programming skills, a track record of published papers and a strong interest in biomedical applications.
Preferred Qualifications: Prior experience would be viewed favorably in the areas of machine learning / data-driven methods, signal processing and/or computational neuroscience, but are not strictly required.
To apply for the position, please e-mail your CV, brief research statement and the contact information for three references to Gal Mishne at gmishne@ucsd.edu. Women and minorities are strongly encouraged to apply.
Link:
https://gauss.math.yale.edu/~gm553/postdoc.html
Quant Researcher
IMC Trading
https://imc.wd5.myworkdayjobs.com/IMC_USA/job/Chicago/Quantitative-Researcher_REQ-00664
IMC – Where Technology drives Trading
Trading nowadays happens in a highly competitive technological landscape; the best trading idea alone does not cut it anymore. Instead, only the best trading ideas that are enabled via robust, scalable and fast technology win.
Do you enjoy the process of problem solving, a process where you recognize areas of improvement and iterate and innovate to improve? Does your curiosity and desire to learn drive you?
Quantitative Research at IMC:
Do you enjoy the process of problem solving, a process where you recognize areas of improvement and iterate and innovate to improve? Does your curiosity and desire to learn drive you?
At IMC we are committed to staying at the cutting edge of quantitative research and are looking for a talented quantitative analyst to join at the core of this effort.
You will be given resources and opportunities to effectively impact our global trading strategies.
Key responsibilities of the role include:
Collaborate with traders to evaluate existing models and suggest improvements
Build custom analysis tools to explore new research ideas
Design mathematical models based upon trading ideas
Apply rigorous analytical and quantitative techniques to solve complex problems
Implement these new models and launch them into production
Conduct best practice to keep our eco-system logical and consistent
WHO YOU ARE:
MS or PhD in a highly quantitative field of study
At least 2 years of professional experience in financial services or a quantitative environment
Proven success in quantitative modelling and algorithm development
Experience using scientific python
Desire to work in a collaborative team environment
Link:
https://imc.wd5.myworkdayjobs.com/IMC_USA/job/Chicago/Quantitative-Researcher_REQ-00664
Grad Quant Researcher
IMC Trading
https://imc.wd5.myworkdayjobs.com/invitation/job/Chicago/Graduate-Quant-Researcher_REQ-00607
ROLE OVERVIEW
Here you will be given resources and opportunities to effectively impact our global trading strategies. IMC is a place where creativity, teamwork and innovation are recognized and rewarded. Quantitative Researchers collaborate with Traders to evaluate existing models and suggest improvements, requiring superior analytical, mathematical, and computing skills. As a Quantitative Researcher, you will have the freedom to find your niche within the firm and excel. We hire the best because responsibility and ownership starts on day one at IMC.
WHAT YOU'LL DO
Build custom analysis tools to explore new research ideas
Design mathematical models based upon trading ideas
Apply rigorous analytical and quantitative techniques to solve complex problems
Implement these new models and launch them into production
Conduct best practice to keep our eco-system logical and consistent
YOUR FIRST SIX MONTHS
As a Quantitative Researcher at IMC, you will have the opportunity to work on global teams to learn from the best Traders, Quants, and Engineers from around the world. You will participate in a global traineeship program beginning in February 2020 or August 2020 focused on enhancing your knowledge of quantitative trading, programming, and mathematics. At IMC, we foster a supportive environment allowing you the freedom to contribute and assume real responsibility, even on day one.
WHAT WE LOOK FOR
MS in Finanace, Financial Math, Financial Engineering, or Computational Math
Minimum 3.5 GPA
Experience with programming in Python is a strong advantage
Strong understanding of financial theory
Superb analytical and mathematical skills
Desire to work in a team environment is a must
Link:
https://imc.wd5.myworkdayjobs.com/invitation/job/Chicago/Graduate-Quant-Researcher_REQ-00607
Quant Developer
IMC Trading
https://imc.wd5.myworkdayjobs.com/IMC_USA/job/Chicago/Quant-Developer_REQ-00663
QUANT DEVELOPMENT AT IMC:
Quant Developers partner with Quantitative Researchers to create and implement research and simulation tools that leverage existing automated trading software and sophisticated statistical techniques and technologies.
Responsibilities
Work with other members in our trading group to assist in constructing new research and simulation models while also investigating the models that are currently being used
Work with our technology team to integrate such models
Explore trading ideas by analyzing market data and market microstructure for patterns
Participate in the idea generation process
Collaborate and work directly with the traders and quantitative researchers on analyzing and developing new ideas/tools to analyze data for patterns
WHO YOU ARE:
You have a passion for the financial markets, working with large amounts of data and are a strategic thinker. Must be organized and detail-oriented and have the ability to manage multiple work streams.
Deep passion for technology, software development and mathematics
Proficient in both C++ and Python(data analysis tools like Pandas)
Bachelors, Masters or Phd in CS, Engineering, Mathematics, Statistics; or equivalent experience
Relevant experience in high performance computing and low latency execution or equivalent experience
OUR CULTURE:
We are at the core a trading firm, however we value trading and technology equally and we believe that cooperation between traders and technologists is one of our great strengths. This is also reflected in our organizational and remuneration policies. We believe in fostering a truly flat environment in which great ideas can be recognized as well as put into practice from anybody within our organization.
Link:
https://imc.wd5.myworkdayjobs.com/IMC_USA/job/Chicago/Quant-Developer_REQ-00663
Senior Machine Learning Scientist
Hyperfine Research
Hyperfine (a 4Catalyzer Company) is a well-funded, rapidly growing medical technology company founded in 2014 by Jonathan Rothberg, PhD. Today, 90% of the world population does not have access to MRI. Hyperfine is on a mission to bring MR technology to every patient anywhere, anytime, regardless of income or resources. Hyperfine builds a breakthrough medical device that has never been built before - bridging cutting-edge electrical, mechanical and software engineering with artificial intelligence, thereby bringing down device costs, reducing device size, increasing usability. Hyperfine has a world-class team of physicists, engineers and scientists, whose focus is to build this innovative device that can save the lives of the ones we love and democratize medicine around the world.
Responsibilities
• Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
• Train various deep learning models including, but not limited to, classification detection, segmentation, reconstruction, and generative adversarial networks.
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
• Formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Qualifications & Experience Description
• Minimum:
o Experience in Computer Vision, Machine Learning or Data Mining.
o Programming experience in one or more of the following: TensorFlow, PyTorch, Caffe.
o Ability to design new algorithms for practical problems on real-world datasets.
• Good to Have:
o MS or PhD in Computer Science.
o Relevant work experience, including full time industry experience as a scientist in a lab.
Experience with 3D medical datasets, medical imaging, or MR image reconstruction.
o Experience with hyper-parameter optimization and algorithm benchmarking.
Link:
hyperfine.io
AI Research Scientist - NLP
Bloomberg L.P.
News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
Who are we? Bloomberg's Artificial Intelligence (AI) group: researchers and engineers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time. Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/nlp/ and https://bloomberg.com/company/d4gx/).
Who are you? A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
We'll trust you to:
Work with others in the AI group and the company on production systems and applications
Publish research findings in leading academic venues and represent Bloomberg at industry conferences
Write, test and maintain production-quality code
Design, experiment, and evaluate algorithms, and models
You'll need to have:
5+ years of experience in AI, NLP, ML, Optimization, or related fields
Link:
https://careers.bloomberg.com/job/detail/74022?qf=AI
Research Engineer - Artificial Intelligence
Bloomberg L.P.
News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and we ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps our clients informed, and our team's insights help make sense of it for our customers.
Who are we? Bloomberg's Artificial Intelligence (AI) group: researchers and engineers who have a passion for solving complex problems. Our charter: to extract and identify relevant, meaningful, tradable, and actionable information (such as pricings, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time. Since our customers rely on this information to make swift financial decisions, we guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
We aren't just building customer-facing products, as the infrastructure and algorithms we develop are themselves used across the company. We also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever we can (see https://www.techatbloomberg.com/nlp/ and https://bloomberg.com/company/d4gx/).
Who are you? A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
We'll trust you to:
Work with others in the AI group and the company on production systems and applications
Publish research findings in leading academic venues and represent Bloomberg at industry conferences
Write, test and maintain production-quality code
Design, experiment, and evaluate algorithms, and models
You'll need to have:
5+ years of experience in AI, NLP, ML, Optimization, or related fields
Link:
https://careers.bloomberg.com/job/detail/74154?lc=London&qf=AI
Senior Research Scientist
DemandForecasting.Com
We are looking for a Senior Research Scientist.
Want to work on state-of-the-art ML techniques in time series field? Please apply!
We are working with the biggest retailers in Asia-Pacific and have significant interest from the North American and European giants. Real environment, real industry impact.
Please only apply if you are prepared to move to Auckland, New Zealand in the next 6 months. We will sponsor the full move.
The company is under a different name (soon rebranding) and is home to multiple PhDs in ML.
Link:
None
Senior Data Scientist
Oliver Wyman
Oliver Wyman’s Data Science and Engineering team works to solve our clients’ toughest analytical problems, continually pushing forward the state of the art in quantitative problem solving and raising the capabilities of the firm globally. Our team works hand-in-hand with strategy consulting teams, adding expertise where a good solution requires grappling with enormous and/or non-standard data sources, applying highly specialized data science techniques, and/or developing reusable codebases and templates to accelerate the rate of progress.
Our work is fast paced and expansive. We build models, coalesce data sources, interpret results, and build services and occasionally products that enhance our clients’ ability to derive value from data and that upgrade their decision-making capabilities. Our solutions feature the latest in data science tools, machine learning / A.I. algorithms, software engineering disciplines, and analytical techniques to make an extraordinary impact on clients and societies. We operate at the intersection of “cool tech” and real world problems faced by some of the world's leading companies. We hire smart, driven people and equip them with the tools and support that they need to get their jobs done.
A senior data scientist is primarily responsible for advancing Oliver Wyman’s broad capabilities to use and deploy cutting edge data scientific tools and methods in our projects, platforms and products. S/he both anchors our current best practices by designing and building reusable data science assets, and simultaneously works to keep OW on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems.
Reach out at the conference to start a conversation.
Applied Scientist
Microsoft
please see links below for detail and feel free to send resume
Link:
https://careers.microsoft.com/us/en/job/586756/Principal-Applied-Scientist
Data Scientist
State Farm
Duties and Responsibilities:
- Performs improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making
- Investigates, recommends, and initiates acquisition of new data resources from internal and external sources
- Contributes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
- Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
Skills & Professional Experience
- Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK
- Experience with unstructured data sets: text analytics, image recognition etc.
- Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.
- Masters, other advanced degrees, or more than 2 years' experience in an analytical field
**Multiple location opportunity: Dallas, TX, Phoenix, AZ and Bloomington, IL
Link:
https://findjobs.statefarm.com/ShowJob/JobId/250387/Data-Scientist
Data Scientist
Amazon Robotics
DESCRIPTION
Working at Amazon Robotics
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
Position Overview
The Amazon Robotics (AR) Virtual Systems Profiling team builds models, runs simulation experiments and delivers analyses that are central to understanding performance of the entire AR system, e.g. operational and software scaling characteristics, bottlenecks, robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.
We seek a talented and motivated engineer to tackle broad challenges in system-level analysis. You will work in a small team to quantify system performance at scale and to expand the breadth and depth of our analysis (e.g. increase the range of software components and warehouse processes covered by our models, develop our library of key performance indicators, construct experiments that efficiently root cause emergent behaviors). You will engage with growing teams of software development and warehouse design engineers to drive evolution of the AR system and of the simulation engine that supports our work.
If interested, please send me a copy of your resume.
Thank you!
Link:
https://www.amazon.jobs/en/jobs/869879/data-scientist-performance-profiling
Postdoc position
Rochester institute of technology
Postdoc positions in machine learning at Rochester Institute of Technology
A postdoctoral scholar position is available at the Rochester Institute of Technology - Golisano College of Computing and Information Sciences. The postdoc scholar will primarily work on an ONR funded research project in the areas of AI/machine learning and is primarily responsible for developing advanced machine learning models to support complex decision-making. The position will allow the candidate to grow his/her expertise in AI/machine learning or related areas by building a strong publication record and working in important data analytics problems in specialized domains. It will also enable him/her to interact with a large team of PhD/MS students in Dr. Qi Yu’s research group (https://pht180.rit.edu/mining/) as well as domain experts through multiple currently funded projects by NSF, ONR, and RIT.
Job Responsibilities
● Develop advanced machine learning models to analyze large-scale dynamic data of heterogeneous types created in both simulated, and real-world environments
● Visualizing results of complex machine learning models and fusing real-time human input in various forms
● Collaborate with domain experts for requirement gathering and reporting results
Qualifications
● A PhD in Computing Science or a relevant field with specialization in machine learning, data mining, and their applications.
● Strong programming skills and familiar with widely used machine learning packages
● Good publication record in reputable machine learning, data mining, and AI venues (NIPS/ICML/AAAI/IJCAI/KDD/ICDM)
● Experience in working with heterogeneous data, including images, videos, among others
● Good communication skills (written and verbal)
Applications will be reviewed immediately and the position are available immediately. Please contact Qi Yu (qi.yu@rit.edu) for further information.
Link:
https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1489539_5289
Postdoctoral Position in Machine Learning/Computational Biology at Harvard University
Harvard University
A postdoctoral position is currently available working with Dr. Mor Nitzan at the FAS Center for Systems Biology at Harvard University to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology.
Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these questions in various theoretical and biological settings, such as cellular interactions in tissues.
Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology. Previous research experience related to biology is an advantage but not required.
The original appointment period is funded for one year.
To apply, please send a CV, a statement of research experience and interests (two pages maximum), and the names and contact for three references to mornitzan (AT) fas.harvard.edu
Link:
https://mornitzan.wixsite.com/
Senior Machine Learning Engineer
BlackBerry Cylance
BlackBerry Cylance applies machine learning to solve long standing challenges in the cyber security industry. We are looking for experienced machine learning engineers with good software engineering fundamentals to join our team in a wide spectrum of responsibilities including scaling algorithms, building large scale ETL pipelines, applied research, and integrating reseach into deliverables products. If interested, please send an email with your resume.
Link:
https://bb.wd3.myworkdayjobs.com/BlackBerry/job/Irvine-California/Senior-Data-Science-Engineer_20190725-1
Data Engineer
BlackBerry Cylance
Blackberry Cylance applies machine learning to solve long standing challenges in the cyber security industry. We are looking for experienced data engineers to join our team in developing petabyte-scale data processing pipelines and tools to increase research velocity. If interested, please send an email with your resume.
Link:
https://bb.wd3.myworkdayjobs.com/BlackBerry/job/Irvine-California/Data-Engineer_20190829
Computer Vision and Machine Learning R&D Intern for Autonomous Driving
Qualcomm
Job Overview
We are looking for talented students to work on perception for autonomous driving in terms of both research and development. Especially for research position, drafting a patent and/or a paper for major conferences (ECCV, CVPR, ICCV, NIPS, and ICML) will be one of the achievements.
Minimum Qualifications
- Must be a student who is available for 3-6 months
- Basic understanding of computer vision and/or machine learning
- Good programming skills in any programming language
Preferred Qualifications
- Good communication and presentation skills
- Advanced understanding of computer vision and/or machine learning
- Hands-on experience with deep learning tools (Caffe, TensorFlow, and PyTorch) and/or GPU programming (CUDA and OpenCL)
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1972377
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.
Link:
http://www.hudson-trading.com/careers/job/?gh_jid=940856
Postdoc position
University of Maryland, College Park
I’m seeking an ambitious post-doc for my research group in the Maryland Cybersecurity Center (MC2), to conduct cutting-edge research at the intersection of machine learning and cybersecurity. I am at ICML if you would like to chat in person.
MC2 is part of the University of Maryland, College Park, located in the metropolitan area of Washington, DC. MC2 is one of the world's top 10 research centers in computer security. We do work that is truly interdisciplinary, using insights from security to improve machine learning. Our results are published in top-tier security and ML conferences. For example, here are a couple of recent papers
http://shallowdeep.network/ (ICML'19)
https://arxiv.org/pdf/1906.01017.pdf (USENIX Security'19)
Qualifications
- Ph.D. in Computer Science or related field
- Established publication track record
- Rigorous understanding of neural network fundamentals
- Strong programming skills
To apply, please send me your CV and a brief description of your research. Or look me up this afternoon at ICML :-)
Link:
http://users.umiacs.umd.edu/~tdumitra/
Senior Data Scientist
BlackBerry Cylance
We’re looking for a Data Scientist to join the BlackBerry Cylance Data Science team. At Cylance, we develop state-of-the-art machine learning techniques to solve long-standing problems in computer security. We discover novel ML techniques and applications, build systems to handle petabytes of ludicrously high dimensional data, and protect people from bad guys.
With machine learning at the heart of all of Cylance’s products, the Data Science team is a critical, highly visible, and high-impact team within the company. The team brings together experts from machine learning, stats, computer science, computer security, and various applied sciences, with backgrounds including deep learning, Bayesian statistics, time-series modeling, topology, scalable data processing, and software engineering.
You don’t need prior experience in security, although it helps. The right candidate will be able to gain domain expertise on the job, surrounded by some of the computer security industry’s leading minds.
Link:
https://bb.wd3.myworkdayjobs.com/en-US/BlackBerry/job/Irvine-California/Senior-Data-Scientist_20190826
Postdoc in ML theory
ETH Zurich
A fully paid 2-yr postdoc position with minimal teaching load in my group starting January 2020. Annual salary around 85 K.
Candidates with an excellent theoretical ML background and several high-impact papers that involve proofs using advanced statistics, math, optimization techniques,
published at big conferences/journals, are welcome to email me with a CV and list of papers.
Note: "I have done projects using DL" is not what I am looking for :).
ML engineer
OMNIOUS
We are looking for machine learning / deep learning engineers (both senior and junior). OMNIOUS is a company working on the product that analyzing fashion image datasets. We provide our customers the products which are used for tagging various attributes (detail, print, material, length, neckline, etc. ) to organize and analyze their own or sns data and help understanding the trend of current fashion industries. We have hundreds of thousand labelled dataset and tackling various problems relating to fashion domain.
In OMNIOUS, you can experience various interesting computer vision problems with challenging dataset.
Feel free to contact and talk in detail.
Link:
https://omnious-recruit.prezly.com/machine-learning-engineer
Full Stack Engineer
Noble.ai
Location
San Francisco or Los Angeles
Role/Responsibilities/Capabilities
Shipping reliable, tight, scalable production-grade code
Mission oriented: you’re a face of the company and carry the Noble.AI flag forward
High “Believability”: you earn the trust of your colleagues to deliver on-time at high quality
Bias towards action: you appreciate the many needs of a Seed-stage startup, and match or exceed the dedication of those around you
Team player: you’re committed to excellence, and naturally know how to bring out the best in others
Skills/Experience
5+ years software engineering experience
BS in computer science or comparable field
Python and Django - Strong production-grade skills, API development
Docker - building custom containers
AWS - Deploying production environments using ECS, RDS, ELB, ElastiCache, VPC, etc
Terraform - Using infrastructure-as-code approaches
SDLC / CI - Experience with build, unittest, deploy, QA, release best practices and leveraging Continuous Integration tools
Experience with modern story/feature definition, requirements evaluation, and workflow approaches
JavaScript/CSS and React - Some exposure to web UI development. Will consider candidates with a strong mixture of React/JS/CSS and Python/Django coding skills without Docker/AWS/Terraform experience
Machine learning experience - Nice to have, will get plenty of opportunities to learn.
Link:
https://hire.withgoogle.com/public/jobs/nobleai/view/P_AAAAAAHAADVFudydnR0T1u
Machine Learning Engineer
Noble.AI
Noble.ai
Noble.AI is looking to recruit a Machine Learning Engineer to help build out our core technology and product. As one of our first hires, you will have a world-class ability to carry out research and develop algorithms, and a strong desire to tailor these to deliver value to R&D customers. You will have a strong track record in machine learning. You will continually advance our tech, and create and track metrics quantifying performance over time. You will have freedom to do research with ground-breaking potential, balancing this with the need to execute. You will have opportunities to present on your work at conferences. You will embody the Founders’ vision of applying science and R&D for societal good and impact. You will have the opportunity to lead and manage a team of scientists and engineers to accomplish business objectives, whilst reinforcing the company’s values and mission.
Responsibilities
Carrying out world-class research oriented to improving Noble.AI’s core AI technology
Developing and tracking core tech KPIs
Effectively communicating importance and progression of KPIs, both internally and externally
Working with and leading engineers and data scientists to integrate research advances into Noble.AI products
Requirements
PhD, or equivalent, in mathematics, CS with machine learning focus, or physics
2+ years of applied machine learning experience.
ML specialization: DNNs, unsupervised, and semi-supervised methods
Mathematical physics specialization [statistical physics, plasma physics, kinetic theory] a plus!
An excellent body of research work in your field of specialization
2+ years experience programming in Python
Demonstrated ability to effectively communicate complex technical details at a high level
Mission oriented: you’re a face of the companxy and carry the Noble.AI flag forward
Link:
https://hire.withgoogle.com/public/jobs/nobleai/view/P_AAAAAAHAADVEkirjJHFx1Z
Postdocs in ML
Tokyo institute of technology
Co-design of deep learning framework with HPC researchers.
Our main target application is video (detection of objects and actions).
AutoML, NAS, Fast training,...
Link:
http://www.ks.c.titech.ac.jp, https://crest-deep.github.io/
NLP Senior Data Scientist
Capital Group
At Capital Group, how we work is defined by shared values that include absolute integrity, respect and collaboration. But it’s more than that. It’s smart and highly driven people united in purpose to serve our investors and one another.
Bring your energy and unique perspective to Capital and you’ll have the opportunity to grow with us professionally, personally, and financially. You’ll be part of a team that genuinely cares about helping you succeed. You’ll work alongside talented colleagues, many of whom build long careers while progressing through multiple roles, establishing lifelong friendships and making a difference in our communities. In return for your contributions, you’ll receive premier compensation and benefits, and a company-funded retirement plan that ranks among the most generous.
The Advanced Analytics Group reports into the North America Distribution Insights & Analytics organization as a new function driving business value through the use of internal and external data, predictive analytics and data science. The group focuses on providing cutting edge data and analytic solutions which will be used to support sales and marketing efforts within North America Distribution.
You will be experienced with and passionate about using data to drive business strategy, tactical program recommendations and identify new areas of ROI through the use of the firm’s data assets. You are a self-starter with a high degree of rigor, organization, and discipline to get things done. You are able to communicate effectively in delivering complex data-driven findings across the distribution group. You are an independent, solution-oriented thinker with a strong background processing large data sets, applying analytical rigor and statistical methods, and driving toward insights and solutions.
Link:
https://jobs.capitalgroup.com/job/Irvine-NLP-Senior-Data-Scientist-CA-92618/483168300/
Principal Data Architect
Platypus Neuro
OUR WORK
• Assessing and training world class performers to obtain optimal performance
• Discovering and monitoring optimal brain states for high level performers in the finance world
• Helping athletes improve their real-world performance using neurofeedback training
COMPETENCIES AND BASIC QUALIFICATIONS
• Undergraduate in Computer Science, Information Technology or related field
• At least 10 years experience in software development roles
• Experience in startup / small scale companies and scaling up
• Real passion for data design, implementation, and analysis
• Able to move between varying levels of abstraction from business strategy to detailed implementation and operations
• Solid understanding of various database implementations, such as SQL, NoSQL, file systems, and the strategies for federation
• Solid understanding of data platforms, including local, enterprise, and cloud solutions such as AWS
• Experience working in a data-centric development environment such as the production of a data warehouse or similar
• Knowledge and hands-on experience of data modelling, mapping, integration and profiling tools
• Sound understanding of Big Data & data analytics challenges
• Experience of applicable data privacy practices and laws
• Experience working with operations personnel, including integrating with DevOps solutions
• Experience with scientific study platforms & machine learning systems, especially Python based platforms
• Exceptional analytical, conceptual, and problem-solving abilities
• Experience in team development environments, including Agile development methods
• Strong written, oral, presentation and interpersonal communication skills
• Ability to build strong peer relationships
• Ability to clearly communicate ideas in user-friendly language
• Excellent prioritization and self-organizing skills to individually detect and deliver the most important things first
Link:
indeedhi.re/2ZhHXZ6
ML Engineer (AI for environment)
WattTime
Do you want to apply your skills to some of the biggest energy and climate work happening today? WattTime, an environmental tech nonprofit, has an immediate opening for a talented and innovative expert in ML. We need you to help build, train, and deploy an AI framework that estimates power plant emissions around the globe.
This radical project is part of the Google AI Impact challenge, and you will get to work with a collaborative, diverse team comprised of members from Google AI, Google.org, WattTime, and our partners. The impact of this work has already caught the attention of Bloomberg, CleanTechnica, Grist and more; as Vox proclaimed, “We’ll soon know the exact air pollution from every power plant in the world. That’s huge.”
Link:
watttime.org
Post doc position at Oregon State University on Visual Common Sense
Oregon State University
A post doc position is available at Oregon State University. The postdoctoral scholar will work on the problem of visual common sense reasoning, with an emphasis on combining continuous-space sequential decision models such as recurrent networks and reinforcement learners with symbolic approaches such as finite state machines. Applicants should hold a PhD in computer vision, or machine learning.We are most interested in experiences in sequential models, deep reinforcement learning, planning, symbolic machine learning, video prediction, video object segmentation and multi-target tracking, A strong research record is required, documented by recent publications in the past 3 years at first-tier conferences (CVPR, ICCV, ECCV, ICML, NIPS, ICLR, UAI, RSS) and journals (IJCV, PAMI, JMLR). Please contact Dr. Fuxin Li (fuxin.li@oregonstate.edu) and Dr. Alan Fern (Alan.fern@oregonstate.edu) with your resume attached. Thank you!
Link:
None
Senior ML Engineer
Planet Labs
Read more about our work featured at ICML at : https://link.medium.com/jdA2EqFrwX
Planet designs, builds, and operates the largest constellation of imaging satellites in history. Our fleet of +100 orbiting spacecraft deliver an unprecedented firehose of imagery that captures the entire Earth’s landmass nearly every day at 3m/pixel resolution. This combination of temporal frequency, spatial resolution and global coverage represents a groundbreaking technological advancement that enables new kinds of data analytics and powers solutions to many global-scale problems.
The Role:
In the Analytics Engineering team, we are focused in developing core and customer-facing intelligence products that will change how our industry measures global activity. For example, we can build systems that detect deforestation within a few days from occurring, anywhere in the world. Our customers come from a range of sectors, including commercial, environmental and humanitarian.
We have a strong machine learning team and are looking for talented engineers with applied product experience to join us. If you are a team player, focused on product delivery, and are excited about deep learning, computer vision or spatio-temporal analytics, this would be a great fit for you.
Role Responsibilities:
Active participation in a collaborative software development environment.
Contribute to the design and development of data pipelines to train, evaluate and deploy models at scale.
Contribute to the development of new models and analytic products using geospatial data.
Collaborate closely with peers in other engineering teams and interface frequently with product teams.
The Must-Haves:
At least 4 years of experience
Strong background in Machine Learning.
Strong Python software development skills.
Good foundations of software architecture, object-oriented design, APIs and testing patterns.
Link:
https://boards.greenhouse.io/planetlabs/jobs/1672567
Research Scientist (Computer Vision)
AI Foundation
Interested in learning good representations for CV tasks using deep learning, geometry, and a combination of the two? Apply using the link below. We will 💕 to👂🏻 from you!
Link:
https://jobs.lever.co/aifoundation/e2dddd25-eec1-45f1-a43c-90a4bf87127e
Research Scientist (NLP)
AI Foundation
We are working on unique problems in multimodal dialog, question answering, sequence labeling, language modeling, and many other areas of NLP. Interested?
Please apply using the link below. We will 💕 to👂🏻 from you!
Link:
https://jobs.lever.co/aifoundation/123f2e5e-729a-4d0a-9ad9-17e91d8fc288
Research Scientist (Speech Synthesis)
AI Foundation
Interested in pushing the forefront of parametric speech synthesis, and detection of synthetic and forged speech? Apply using the link below. We will 💕 to 👂🏻 from you!
Link:
https://jobs.lever.co/aifoundation/8565d4bd-33f5-4f33-ba64-40ab36518d97
Machine Learning Engineer
Health at Scale Technologies
HEALTH[at]SCALE is a rapidly growing healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. Our mission is to match the world’s patients to the right treatments by the right providers at the right times using bleeding-edge innovations in machine learning and artificial intelligence to drive precision delivery of healthcare.
Our machine intelligence-based software platform and applications are in use by leading managed care organization to manage tens of millions of patients each day. HEALTH[at]SCALE powers some of the largest existing deployments of machine learning and artificial intelligence for healthcare use cases anywhere in the world; and offers breakthrough capabilities to improve the management of complex populations across complex provider networks through proactive and personalized decisions at critical points across the care continuum.
For more information about the position and company, please visit the website at www.healthatscale.com
To apply for the position, please go to the link provided in the posting.
Link:
https://healthatscale.workable.com/j/25945804DC
Machine learning researcher for drug discovery
Bayer
Do you want to apply cutting edge machine learning to large industrial chemical and biological datasets and improve our healthcare on the way? See attached link.
Link:
https://karriere.bayer.de/job/Research-Scientist-Machine-learning-Deep-learning-m-f-d--SF40077_en_US.html
Machine learning engineer / Speech recognition engineer
Speechmatics
Various open positions as machine learning engineer and speech recognition engineer.
Intern, graduate and senior roles availables.
Descriptions on each role on our careers page: https://www.speechmatics.com/about-us/careers/available-roles/
Link:
https://www.speechmatics.com/about-us/careers/available-roles
Assistant Professor of Computer Science
Marist College
Looking for two tenure track faculty. We sponsor H1b visas.
Link:
https://g.co/kgs/itL9iS
Manager - Machine Learning Ads Quality
Pinterest
Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. We’re looking for an Engineering Manager with experience in machine learning, text mining, and information retrieval to lead a team that develops new data-driven techniques to boost the relevance of promoted pins. You’ll be joining an early stage team that is growing quickly and laying the foundation for Pinterest’s business success.
Link:
https://careers.pinterest.com/careers/details/1673870
Software Engineer - Machine Learning Platform - Cortex
Twitter
See Twitter job posting link.
Link:
https://careers.twitter.com/en/work-for-twitter/201901/software-engineer-machine-learning-platform-cortex0.html
Researcher
Wayve
We’re looking for adventurous, talented and creative researcher in the fields of reinforcement learning, computer vision and robotics to join our journey in developing next-generation autonomous vehicles. We’re a new and growing start-up company at the forefront of research, backed by an inspiring cohort of investors. Autonomous vehicles have been over-promised, but the traditional thinking pioneered by tech giants and being pursued by many others doesn’t scale in practice.
Our vision rethinks the approach to autonomous vehicles. Our founding team are leading thinkers in the field and have published numerous impactful research papers while part of top research labs. We’re using the latest ideas from computer vision, machine learning and reinforcement learning. We believe this approach will deliver the world safe and trustworthy autonomy.
How you’ll make an impact:
-Know how to attack new, hard research problems
-Work fast, smart, and well with other awesome team members
-Design and implement algorithms using large datasets and real-world robots
-Contribute to academic publications for top-tier conferences
Wayve is built on people and their differences gives us strength. We are proud to be an equal opportunities workplace and encourage people from all walks of life
Link:
https://wayve.ai/careers
2020 Summer Research Internship in Tokyo: Call for Pre-registration
Preferred Networks
PFN organizes summer internship program in Tokyo also for international students to work on challenging research and publish papers at top conferences (Past interns got accepted to ICML, ICLR, and ICRA). 2020 will be the 4th year of the international internship program and we already welcomed 30+ international students from top universities around the world.
Application for 2020 summer will start September 2019. If you are interested, please let us know your contact from the following form so that we can reach you when the application opens.
https://forms.gle/MxwZ4rTNcsXHBdW46
- We accept undergrad, master & Ph.D students outside of Japan
- Research focused
- Paid a competitive salary
- Residential & living expense support, round-trip flight support, and computing resources (incl. GPUs) are provided
- Application areas include but not limited to: deep learning theory, robotics, simulation, deep reinforcement learning, computer vision, bio-healthcare, human-computer interaction
FYI: last year internship program announcement (details subject to change).
https://www.preferred-networks.jp/en/news/pr20181201
Link:
https://www.preferred-networks.jp/en/
Sr. Machine Learning/Deep Learning Scientist
AppZen
RNN
Reinforcement Learning
LSTM
Python at production level
Pytorch, Keras, skitlearn etc
PhD in Computer Science or Mathematics
Link:
www.appzen.com
