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/1560617
Data & Applied Scientist
Microsoft
Currently hiring for all levels (Junior, Senior and Principal)
The Visual Studio team is currently building the next generation family of Microsoft developer products! This endeavor offers big opportunities for data science and machine learning. These products include our development environments ranging from editors and compilers to dev ops. These tools are cloud connected to Azure, and afford a tremendous opportunity to utilize data science, machine learning, and AI to provide analytics and algorithmic data science systems to better understand and serve our users.
Link:
https://careers.microsoft.com/us/en/job/558318/Data-Applied-Scientist
Applied Scientist
Microsoft
We have several open roles for an Applied Scientist specifically in NLP and Machine Learning- both in Redmond(Seattle), WA and Sunnyvale, CA.
Link:
None
Deep Learning Scientist
Plumerai
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.
At 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.
We'll be at ICLR, feel free to reach out if you would like to get to know us!
Link:
https://plumerai.workable.com/j/BF90B8A976
Deep Learning Scientist
Plumerai
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.
At 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.
We'll be at ICLR, feel free to reach out if you would like to get to know us!
Link:
https://plumerai.workable.com/j/581DD6BB2C
Postdoc in NLP at NYU
NYU
Want to try to make transformative progress in language understanding?
Contact me and apply at the link below.
Link:
https://twitter.com/sleepinyourhat/status/1117067765926514694
AI Resident
Shell
The Shell AI Residency Programme is a 2-year, full-time, immersive programme designed to work on projects across Shell’s value chain.
The Programme offers Residents the opportunity to collaborate with like-minded innovators, experts and mentors, while deepening technical expertise across the spectrum of AI. A unique advantage of this Programme is the ability to take ideas from concept to deployment, addressing real-world challenges in areas as diverse as exploration to trading, or retail to new energies.
The Residency Programme is for those who are passionate about developing solutions in the energy domain with potential of unlocking more, cleaner energy for all. To apply for the Programme, you must have a PhD in the fields of computer science, data science, mathematics, physics, or electrical engineering; a Bachelors’ or Masters’ with 3 years of experience in the above fields; or equivalent experience in STEM, or other non-traditional fields.
Link:
https://www.shell.com/energy-and-innovation/overcoming-technology-challenges/digital-innovation/artificial-intelligence/advancing-the-digital-revolution.html
Research Scientist
ASAPP
ASAPP, an AI startup in downtown NYC, is seeking Research Scientists for full-time job opportunities in New York or San Francisco.
Research Scientists at ASAPP work to fundamentally advance the science Machine Learning towards our goal of deploying domain specific real-world AI solutions. They leverage the massive amounts of data generated by our products, and our ability to deploy AI features into real-world use to ask and address fundamental research questions in novel ways.
We are expanding our research team, and are looking for candidates with PhDs, a strong record of peer-reviewed publications, and the ability to independently develop and drive original research programs.
As a Research Scientist at ASAPP you will, design, develop and evaluate novel techniques to advance the field of Machine Learning and drive research programs in collaboration with other members of the research group. You will also guide and review productization of research findings by engineering teams.
Link:
https://jobs.lever.co/asapp-2/c2f5ab8e-e8c4-400f-b780-81929d163021
Research Engineer
ASAPP
ASAPP, an AI startup in downtown NYC, is seeking Research Engineers for full-time job opportunities in New York or San Francisco.
Research Engineers at ASAPP work to fundamentally advance the science Machine Learning towards our goal of deploying domain specific real-world AI solutions. They leverage the massive amounts of data generated by our products, and our ability to deploy AI features into real-world use to ask and address fundamental research questions in novel ways.
We are expanding our research team and are looking for candidates with at least a masters degree or equivalent experience, research experience in machine learning, and strong software engineering skills.
As a Research Engineer at ASAPP you will, build and maintain research infrastructure and toolkits, assist in the creation of research datasets, and design novel techniques to advance the field of Machine Learning. You will also guide and review productization of research findings by engineering teams.
Link:
https://jobs.lever.co/asapp-2/954ddda3-93ec-40da-811f-0cbe20651ef7
Research Scientist
Salesforce Research
Salesforce Research (previously MetaMind) is looking for outstanding entry level research scientists.
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.
Link:
https://salesforce.wd1.myworkdayjobs.com/en-US/External_Career_Site/job/California---Palo-Alto/Research-Scientist---Salesforce-Research_JO-1712-62251
Postdoc in ML at CS Oxford
University of Oxford
Postdoc in ML at CS Oxford
======================
Open postdoc positions with the OxMLSys lab (http://mlsys.cs.ox.ac.uk/) at the Computer Science department at Oxford. We are open to individuals with various relevant backgrounds (such as, machine learning, statistics, information theory, speech, vision) interested in working within an interdisciplinary environment on fundamental and applied questions within the field.
Please send your CV to Nic Lane at: nicholas.lane@cs.ox.ac.uk (http://niclane.org) or chat with Javier Fernandez (javier.fernandezmarques@cs.ox.ac.uk) while at ICLR.
Preferred starting date: October 2019, duration: 2-years (both negotiable)
Multiple positions available
OxMLSys Lab
============
The Oxford Machine Learning Systems (OxMLSys) lab is part of the Cyber-Physical Systems theme and Department of Computer Science at the University of Oxford. We investigate a variety of open problems that sit at the intersection of machine learning and various forms of computational systems (viz. embedded, cloud, mobile). The scientific contributions of our lab often take one of two forms. First, the development of novel theoretically principled machine learning methodologies – especially those with applications to the modeling of data such as image, audio, spatial and inertial information. Second, the design and architecture of system algorithms and software that treat machine learning computation as a first-class citizen – this often results in transformative increases in training and inference efficiency. Our unifying aim is to invent the next-generation of device- and cloud-based systems able to perceive, reason and react to complex real-world environments and users with high levels of precision and efficiency. We seek to achieve this impact through holistic full-stack approaches that encourage lab members with skills in algorithms, hardware, statistics, mathematics and software to work closely together to solve critical challenges in this area.
Link:
http://mlsys.cs.ox.ac.uk
Applied AI scientists
Microsoft, Data and AI
We, at the Data and AI group in the Microsoft Cloud division have opportunities for applied AI scientists at all levels. Fresh grads, experienced scientists and engineers. There are huge opportunities to do cutting edge deep learning work to improve cloud developer productivity. Message me or come to our booth at ICLR 2019
Link:
None
Postdoc in ASR - Samsung AI Center, Cambridge (1 year fixed term)
Samsung AI
The on-device AI team at SAIC-Cambridge seeks excellent candidates to work on cutting edge automatic speech recognition systems.
Key qualifications/skills
Degree: PhD preferable, exceptional candidates at Masters level will also be considered
Theory: Automatic Speech Recognition, Deep learning, Optimization
Programming: Tensorflow, Python, C/C++, hands-on experience with any ASR toolkit
Link:
https://drive.google.com/open?id=1HYFsOV8-OKupmg0-0sP4LxmmFINJcbM3
Various Baseball R&D Roles
Tampa Bay Rays
The Tampa Bay Rays are searching for our next Baseball Research and Development Analysts. Our R&D group helps shape our Baseball Operations decision-making processes through the analysis and interpretation of data. We are seeking those with a passion for baseball and a desire to contribute through mathematics, data analysis, and computation. The next members of our R&D team will be intellectual contributors that can work both individually and collaboratively, come up with interesting research questions to explore, find ways to answer those questions through the available data, develop, test and validate quantitative tools, communicate the results of their research, and work to apply their research outcomes to improve how our organization operates. We want to work with people who care about being good teammate, want to make a positive impact on our organization, have an innovative spirit, and will explore new ways to make us better. Does this describe you?
Duties & Responsibilities:
Develop models to answer various questions and problems posed by decision makers
Generate internal quantitative tools for use by other members of the department
Administer the processing of quality data from various sources
Examine the relationship between the data from various sources and player performance
Create reports at the request of various stakeholders
Investigate ways to improve current tools
Skills:
Fluency in R or Python
Experience with statistical modeling and machine learning
Candidates with non-traditional schooling backgrounds, as well as candidates with traditional degrees in related areas, are encouraged to apply
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Link:
https://www.teamworkonline.com/baseball-jobs/baseballjobs/tampa-bay-rays/baseball-research-development-analyst-multiple-roles-1956814
Applied Researchers at all Levels
Tencent
Join the Center of Applied Research at Tencent PCG, a newly created BG to bridge content and users. Positions available currently for video creation, understanding, and recommendation.
Machine Learning Engineer
Dessa
Hi! I'm a Machine Learning Engineer at Dessa, a Toronto-based artificial intelligence startup. Here's the pitch:
Dessa collaborates with the world’s largest and most complex organizations to build real-world value with AI. Since 2016, our team has translated the latest AI research into impactful applications for industries ranging from finance to telecommunications.
Drop me a line if you'd like to chat.
https://boards.greenhouse.io/dessa/jobs/4101089002
Link:
dessa.com
Postdoc in ML theory at ETH Zurich
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 :).
Machine Learning Engineer
Nines
Healthcare industry
Machine Learning Framework Developer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our IPU platform is designed to be targeted by machine learning frameworks such as Tensorflow, MXNet, Caffe2, CNTK and PyTorch. This role involves understanding the implementation of these frameworks at a deep technical level. This role focuses on the integration of the IPU and Poplar platform into these frameworks.
Requirements
Experience of developing machine learning frameworks would be good, but it is not essential.
Strong C++ development ability along with an understanding of how these frameworks target existing technologies such as a GPU would be useful.
Developers will be expected to gain a deep understanding of the Poplar framework and the functionality provided by its application libraries, quickly upon joining Graphcore, in order to integrate it into machine learning frameworks. Fundamentally, this role provides an opportunity to work on adding advanced hardware support to software platforms used by many of the worlds largest companies.
Please note, we are only considering candidates who have an established right to work in the UK for roles based in Bristol, UK
We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work.
Link:
https://boards.greenhouse.io/graphcore/jobs/4195343002
ML researcher: deep learning, Earth Observation
Deep Planet
Our mission is to drive global sustainability through better decision making. To do that we are building the best computer vision team for satellite data analysis. We are looking for creative engineers and scientists who can take on new computer vision problems.
Deep Planet's focus is on leveraging satellite data for agriculture, water, forestry and oil and gas industries. Using neural networks, we have accurately identified vineyards in the world, measured plant stress and predicted soil moisture levels. Other projects include oil and gas monitoring and water level prediction capability.
Deep Planet is backed by the European Space Agency BIC UK, Copernicus Incubation Programme along with UK Government Innovation grants. We work with the world's leading satellite companies and research organisations to deliver state-of-the-art solutions. We are rapidly expanding our presence in many market verticals with aim to develop commercial capabilities.
Come join our world class team if you are not afraid to try new approaches and are looking to push the boundaries of innovation that can have global impact.
All positions are part/full time and based in Harwell, UK or remote. To apply, please email your CV to contact@deepplanet.ai
Link:
http://deepplanet.ai/company/careers
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.
You will work on AI and ML applications, create application notes and blog content, and work closely with Graphcore’s field teams, customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. Having access to world leading compute resources, you will develop applications that push the boundaries of what is possible with machine learning today. You will also act as a senior technical figure within our product support organization, debugging customer issues and providing concise summaries and recommended fixes to our core engineering teams.
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
Ability to multitask effectively in a fast-paced environment
Action-oriented with strong analytical and problem-solving skills
Keen interest to learn about the exciting new field of AI
Comfortable in a customer-facing environment
Strong written and oral communications skills with the ability to effectively interface with management and engineering
Strong team-work
Link:
https://boards.greenhouse.io/graphcore/jobs/4197073002
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.
Role
Help the current effort of the AI research community, and contribute to cutting edge research in machine intelligence, starting from areas including Deep Learning, Generative Models, Reinforcement Learning, and Evolutionary Computing.
Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities.
Contribute to the progress of AI research, with the possibility of addressing both the understanding of the basic theory and the practical use of new techniques for a wide range of possible applications.
Responsibilities
Contribute to the definition of research activities and conduct the corresponding investigations in specific areas of fundamental and applied research, aiming at publishing the work for discussion within the wider AI research community.
Collaborate with the rest of the team and with other groups within the company, to develop new ideas and identify research opportunities.
Key Skills
MSc or PhD in Electrical Engineering, Computer Science, Physics, Statistics, Mathematics or related fields, with a strong basis in numerical analysis and probability theory.
In-depth understanding of modern machine learning algorithms and deep learning architectures.
Basic coding skills (Python, C/C++) and experience of algorithm implementation in modern machine learning frameworks (TensorFlow, PyTorch).
Strong communication skills, and willingness to work in a collaborative environment.
Link:
https://boards.greenhouse.io/graphcore/jobs/4197067002
Product Support Engineer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture 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 include:
Working directly with colleagues and customers in the latest applications of machine learning from language translators to autonomous vehicles.
Developing your skills and experience with self-paced learning and rotation within the organization.
Working with cutting-edge software developers in the latest C++ and Python machine learning frameworks.
Requirements
Demonstrably strong software development capability with, for example two or more years of related experience in software engineering or applications development/technical-support/field customer-facing role(s).
A deep understanding of computation fundamentals shown, for example, with a Bachelors in Engineering, Computer Science, Mathematics, Physics or similar field.
A proficiency with C++ & Python, and a healthy hunger for performance optimization.
An aptitude for trouble-shooting and its evolution: from the basic symptoms through analysis and resolution with code fixes, work-arounds, improved documentation, examples, and collaboration with other teams.
A first-class communicator, representing the company at the front-line.
Differentiators
Masters or higher degree in related computationally intensive science or engineering field.
Experience with high performance parallel programming in C++, CUDA, OpenCL.
Experience implementing high performance numerical computation, such as Matrix Multiply and/or CNN convolution.
Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe, Caffe2, Torch and or PyTorch
Link:
https://boards.greenhouse.io/graphcore/jobs/4196934002
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 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 an AI Applications Specialist, you will work to port and optimize machine learning and artificial intelligence applications using Graphcore’s Poplar™ software and IPU processors, enabling breakthroughs in this rapidly moving field.
Responsibilities
Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms and achieve breakthroughs in artificial intelligence
Become a recognized expert on Graphcore’s IPU technology and Poplar™ tools and deliver compelling training to our customers and partners
Field & resolve challenging/complex customer support issues
Shepherd critical customer issues and provide timely advance warning of critical issues that need attention
Become a thought leader on machine learning and advocate for Graphcore’s IPU technology
Work with the Product Management and Engineering to ensure a good flow of customer feedback that can be incorporated into future products
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
Ability to multitask effectively in a fast-paced environment
Action-oriented with strong analytical and problem-solving skills
Keen interest to learn about the exciting new field of AI
Comfortable in a customer-facing environment
Strong written and oral communications skills
Link:
https://boards.greenhouse.io/graphcore/jobs/4219395002
AI Engineer
Graphcore
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture 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 an AI Engineer, you will be working closely with Graphcore’s customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies.
Requirements
4+ years of related experience ideally in Machine Learning, HPC or a math’s intensive engineering field
Bachelor’s in Engineering, Computer Science, Mathematics, Physics or similar field
Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet, Caffe, Caffe2, Torch, and/or PyTorch, or a strong mathematics background and a keen interest to learn about these exciting new techniques
Comfortable in a customer-facing environment and experience working with developers or researchers
Ability to multitask effectively in a fast-paced environment
Action-oriented with strong analytical and problem-solving skills
Strong time-management and organization skills for coordinating and prioritizing multiple projects and initiatives
Strong written and oral communications skills with the ability to effectively interface with management and engineering
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 PCIe form-factor accelerators such as GPUs, DSPs or FPGAs
Link:
https://boards.greenhouse.io/graphcore/jobs/4197138002
Machine Learning Scientist/Engineer
Numenta
Today’s machine learning technologies are limited compared to human intelligence. At Numenta, we are one of the few teams developing large scale theories of the brain that are biologically constrained, testable, and implemented in software. The Research Group at Numenta is looking for an outstanding Machine Learning engineer or scientist to apply our neuroscience-based theories towards extending Machine Learning algorithms. As a successful candidate, you will have a deep understanding of traditional machine learning algorithms, and a belief that the best way to build truly intelligent machines is to leverage neuroscience-based principles.
You will work with a small collaborative team of researchers and engineers who are passionate about applying innovative new technologies to move machine intelligence to the next stage. We openly publish all our research, and our research code is available as open source on Github. Numenta is located on the San Francisco Peninsula in downtown Redwood City, a short walk from the Caltrain station. Onsite work is a requirement for this position.
Required Qualifications
MS in Computer Science or related field (PhD a plus).
Hands on experience implementing modern deep learning techniques and architectures.
At least one year’s experience applying machine learning principles to real world problems, through a combination of internships and/ or industry jobs.
Experience with Python, and deep learning frameworks such as PyTorch or TensorFlow.
Excellent algorithmic and mathematical problem-solving skills, and an understanding of the fundamentals of deep learning.
Excellent written and verbal communication skills.
Demonstrated ability to work in a team-oriented environment.
Desired Qualifications
Experience or coursework in neuroscience.
Track record of publications in leading peer reviewed conferences and journals.
Working knowledge of HTM algorithms or Numenta’s recent papers (see https://numenta.com).
Link:
www.numenta.com
Research Scientist/Engineer
Microsoft
Microsoft’s Business Applications Group AI Center of Excellence is seeking research scientist/engineer to work on
natural Language Processing, deep Learning and reinforcement Learning.
Please use the above link for applying research scientist position even if it says software engineer. Drop me a line if you'd like to chat.
Link:
https://careers.microsoft.com/i/us/en/job/598978/Senior-Software-Development-Engineer
Postdoctoral Positions in Machine Learning for Biomedical Data at Yale
Yale University
The Krishnaswamy Laboratory at Yale University is recruiting senior scientist / postdoctoral researchers with a background in machine learning, deep learning, applied math or signal processing. Our group is jointly situated in the Department of Genetics in the Yale School of Medicine and the Department of Computer Science in School of Engineering and Applied Sciences. Our group is also affiliated with the the Program in Applied Math, the Yale Institute for Network Science, Yale Cancer Center, and the Yale Center for Biomedical Data Science.
The focus of our group is developing machine learning and applied mathematical techniques for extracting structure and patterns in high-dimensional and high-throughput biomedical data. Our recent projects include algorithms for: data denoising (Cell 2018), data generation (NeurIPS 2018), deep learning-based manifold alignment (ICML 2018), data visualization, and developing software for single cell analysis. The projects in the lab tend to be flexible, seeking computationally novel solutions to new problems that are motivated by the explosion of new biomedical measurement technologies and collected patient data. As such we work with data from many disciplines, including genomics, electronic health records, and neuro-imaging.
The lab maintains active collaborations with research groups in the Departments of Immunology, Neuroscience, Genetics, Neurology, Radiation Oncology, and Endocrinology as well as outside institutions like Weill Cornell and the Salk Institute. Our group publishes in top-tier computational venues (such as NeurIPS and ICML) and biomedical journals (such as Cell and Nature family journals).
Candidates who apply should have a Ph.D. in Applied Math, Computer Science, Electrical Engineering or related field. Prior experience in biological research is not required, but interest in collaborating with biologists and physicians is essential. For more information email smita.krishnaswamy@yale.edu.
Link:
https://www.krishnaswamylab.org/join-us
Applied Researcher
Expedia Group
We are looking for top-notch applied researchers and scientists interested in breaking new grounds to solve some of the most complex computational problems in the marketing domain.
The focus of your job will be in developing state of the art machine learning algorithms to power various aspects of highly complex global marketing campaigns. We spend hundreds of millions of dollars participating in highly dynamic and competitive auctions in travel Metasearch sites (TripAdvisor, Kayak, Trivago), Paid Search (Google, Bing, Yahoo) as well as in social media (Facebook). These marketing channels would benefit from solving a range of fundamental problems with varying levels of complexity, e.g., from inference problems that arise due to sparse data to solving complex optimization problems impacted by dynamic market and user behavior. We have rich, massive, and untapped data sets containing observation points that can be collected only by spending huge amounts of money. Your passion for the craft of statistics, optimization, and machine learning will help unlock tangible growth for our business by exploiting these data sets.
The Expedia Applied Research team is at ICLR 2019 this week and we are hiring across different levels in our team. Please message me at enasrabadi@expedia.com if you would like to meet with the team, learn about the opportunities, and join us to solve fundamental problems in the travel marketing industry.
Link:
None
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?
About the job:
- You will be working on challenging NLP research problems arising in the context of AI Foundation products with a strong engineering team to back your efforts
- Collaborate with world-leading academic researchers in the area partnering with AI Foundation
- Our researchers are encouraged to collaborate outside of AI Foundation, publish in conferences, teach, or take up anything that will build their careers beyond AI Foundation
- Full-time based in San Francisco
- All levels of seniority/experience welcome
About you:
- You have published in modern deep learning based NLP
- You are interested in working for a company/team with a strong social mission around integrity of information on the web
- Can independently implement ideas efficiently in a modern deep learning stack (like PyTorch!)
About the AI Foundation:
AI Foundation is a hybrid for-profit and non-profit company working on research and products centered around synthesis and detection of synthetic media. This job req is for the for-profit, but our engineers and scientists are encouraged to spend time on detection research questions for the non-profit.
Link:
None
Research Scientist (Computer Vision)
AI Foundation
Interested in learning good representations for CV tasks using deep learning, geometry, and a combination of the two? So are we!
About the job:
- You will be working on challenging computer vision research problems arising in the context of AI Foundation products with a strong engineering team to back your efforts
- Collaborate with world-leading academic researchers in the area partnering with AI Foundation
- Our researchers are encouraged to collaborate outside of AI Foundation, publish in conferences, teach, or take up anything that will build their careers beyond AI Foundation
- Full-time based in San Francisco (with remote options)
- All levels of seniority/experience welcome
About you:
- You have published original research in modern deep learning and computer vision
- You are interested in working for a company/team with a strong social mission around integrity of information on the web and beyond
- Can independently implement ideas efficiently in a modern deep learning stack (like PyTorch!)
About the AI Foundation:
AI Foundation is a hybrid for-profit and non-profit company working on research and products centered around synthesis and detection of synthetic media. This job req is for the for-profit, but our engineers and scientists are encouraged to spend time on detection research questions for the non-profit.
Link:
None
Research Scientist (Speech Synthesis)
AI Foundation
Interested in pushing the forefront of parametric speech synthesis, and detection of synthetic and forged speech? So are we!
About the job:
- You will be working on interesting speech research problems arising in the context of AI Foundation products with a strong engineering team to back your efforts
- Collaborate with world-leading academic researchers in the area partnering with AI Foundation
- Our researchers are encouraged to collaborate outside of AI Foundation, publish in conferences, teach, or take up anything that will build their careers beyond AI Foundation
- Full-time based in San Francisco (with remote options)
- All levels of seniority/experience welcome
About you:
- You have published in parametric speech synthesis or allied areas
- You are interested in working for a company/team with a strong social mission around integrity of information on the web
- Can independently implement ideas efficiently in a modern deep learning stack (like PyTorch!)
About the AI Foundation:
AI Foundation is a hybrid for-profit and non-profit company working on research and products centered around synthesis and detection of synthetic media. This job req is for the for-profit, but our engineers and scientists are encouraged to spend time on detection research questions for the non-profit.
Link:
None
Senior Software Engineer, Machine Learning
Unity Technology
Our Bellevue Machine Learning group partners with product teams throughout Unity to personalize experiences, build developer tools powered by ML, and drive better business decisions through predictive analytics. If you’re an exceptional Data Scientist or Machine Learning practitioner with strong engineering and deep learning skills, we'd like to meet you!
We’re particularly focused on using ML to understand visual content, which improves our recommendations, enables services such as visual search and similarities, and even powers tools that generate graphical content, like terrain, lighting, and textures. All of our work empowers our customers to make amazing visual content and experiences using Unity. The team is located onsite at the Unity office in Bellevue. Exceptional candidates desiring remote work from our San Francisco office will also be considered.
Responsibilities
Research, build, and deploy Machine Learning models to cloud infrastructure
Collaborate with other engineers, data scientists, and partner teams on product and service features and functionality
Requirements
Experience with at least two production ML applications
MS in computer science, math or statistics
Hands-on experience building production models with TensorFlow PyTorch, or scikit-learn
Strong engineering background with a good foundation in algorithms and software design
Experience with Cloud deployments (AWS or GCP)
Bonus points
PhD in computer science, math or statistics
Experience with Generative Models, Recommender systems, or computer vision
Experience with Unity Engine, 3D simulators, game development, or graphics
Published research in areas of Deep Learning at major conference or journal
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 world with the tools they need to build rich, interactive 2D, 3D, VR and AR experiences. In fact, apps made with Unity reach 2.7 billion devices world
Link:
https://www.linkedin.com/mwlite/jobs/view/1249210960?referenceId=nVK7SvvVS2yUPlV7NZYBIw%3D%3D&eBP=JOB_SEARCH_ORGANIC
Senior Research Engineer/Scientist
Auirs Health
Auris is a technology company defining the future of medical intervention. By combining advancements in medical robotics, instrumentation, navigation and data science, Auris is building a platform technology capable of expanding the applicability of robotics to a spectrum of medical procedures.
Overview
As a Research Engineer/Scientist, this individual will be responsible for improving algorithm performance of the image segmentation algorithms of the Monarch Platform. He/she will work closely with other Research Scientists, Research Engineers, Systems Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment. The position reports to the Director of Systems, Algorithms and Robotics.
Core Job Responsibilities
• Assess performance and robustness of existing image segmentation algorithms via analysis of case data collected with the Monarch Platform
• Interact with external partners to co-develop develop next generation image segmentation algorithms for Monarch Platform
• Research and develop novel algorithms to perform multi-modal sensor fusion, registration of different datasets, modelling of physiological functions, and analysis of medical image datasets
• Implementation, testing and debugging of algorithms within the Auris Application software (C++)
• Conduct Algorithm design review meetings
• Evaluate new technologies and remain informed regarding state-of-art approaches in the field of Medical Image Computing.
• Other related duties as may be assigned
Required Knowledge/Skills, Education, And Experience
• 5-8 years’ working experience on implementing complex algorithms in a medical image setting. Candidates with Ph. D in Medical Image Computing, Biomedical Engineering, Image Analysis are preferred
• Deep understanding and experience in state-of-art image segmentation, medical image analysis, machine learning, computer vision algorithms
• Demonstrated experience dealing with clinical im
Link:
None
Senior Research Scientist
Auris Health
Auris is a technology company defining the future of medical intervention. By combining advancements in medical robotics, instrumentation, navigation and data science, Auris is building a platform technology capable of expanding the applicability of robotics to a spectrum of medical procedures.
Overview
As a Research Scientist, this individual will be responsible for Medical Image algorithm design, implementation and testing in support of the Auris navigation program for medical interventions. He/she will work closely with other Research Scientists, Systems Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment. The position reports to the Director of Systems, Algorithms and Robotics.
Core Job Responsibilities
• Research and develop novel algorithms for image segmentation, registration, 3D reconstruction and visualization of medical image datasets
• Implementation, testing and debugging of algorithms within the Auris Application software (C++)
• Conduct Algorithm design review meetings
• Evaluate new technologies and remain informed regarding state-of-art approaches in the field of Medical Image Computing.
• Improve performance and robustness of existing algorithms
• Other related duties as may be assigned
Required Knowledge/Skills, Education, And Experience
• 5-8 years’ working experience on implementing complex algorithms in a medical image setting. Candidates with Ph. D in Medical Image Computing, Computer Science, Image Analysis are preferred
• Deep understanding and experience in state-of-art medical image analysis, image registration, machine learning, computer vision algorithms
• Demonstrated experience dealing with clinical imaging datasets
• Proficiency in C++ , ITK, VTK, OpenCV, Python
• Experience with experimental design
• Experience dealing with medical professionals to identify clinical problems and implement solutions
• Software debugging experience
• Experience dealin
Link:
None
Research Engineer / Scientist
KC 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
Tokyo & Berkeley: Researcher positions in ML/DL/CV/Robot/HCI/Speech and more
Preferred Networks
Preferred Networks is a startup with ~250 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 this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 1536 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/jobs
Deep Learning NLP Tech Lead
Zeta Alpha Vector
Become part of a founding team applying state of the art Deep Learning language models to enterprise search and knowledge management.
You are an ambitious research engineer who likes to build stuff that works, takes a long term view on hard AI problems, and is interested in a leading role in a new Amsterdam based startup with close ties to academia.
You have a good publication record in Deep Learning or NLP, software engineering experience, an interest in enterprise search, and a healthy disrespect for boundaries that others deem hard or impossible.
Link:
None
Data Science Intern, Reinforcement Learning
Unity Technologies
We are working on applying reinforcement learning to monetization for game developers— making the best decision for the lifetime value of a player as opposed to immediate reward. Please see the job ad link for more information. I am at the conference so email me or get in touch through the Whova app if you are interested. We hope to find a PhD or masters student focusing on reinforcement learning.
Link:
https://careers.unity.com/position/data-science-intern-reinforcement/1371912
AI/ML Fellow
Center for Security and Emerging Technology (CSET)
We are seeking applications for an artificial intelligence (AI) / machine learning (ML) Fellow, Senior Fellow, and/or Distinguished Fellow to support CSET’s efforts in producing research and policy recommendations on the security implications of emerging technologies.
Link:
https://cset.georgetown.edu/careers/
Machine Learning Researcher
Recursion Pharmaceuticals
We have raised over $80M to apply machine learning to one of the most unique datasets in existence - tens of millions of images of cells under a huge number of biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives - we want to understand biology so well that we can fix most things that go wrong in our bodies.
You'll work with others on the data, biology, and engineering teams to design and train deep convolutional networks that lift our drug discovery platform to new levels of effectiveness and efficiency. This platform is the core of our mission: transforming drug discovery into a data science problem. We’re tackling insanely challenging problems, often without obvious solutions, but our growing team is sharp and highly motivated, and we have already made rapid progress - we already have two drugs in human clinical trials.
Link:
https://www.recursionpharma.com/careers/?department=data-science
Research scientist Positions at Baidu Big Data Lab
Baidu
We are recruiting research scientists who want to work on hard AI problems that potentially may impact >100 millions of people’s daily life.
Baidu Big Data lab works on theoretical and computational principles that enable data-driven AI research and development. Our recent projects include NAS, model compression and transfer learning among others.
Successful candidates usually have a PhD degree from highly related fields such as CS, CE, EE, or statistics. They usually have Publications at top venues.
If interested, please contact Dr. Luke Huan, head of Baidu BDL by writing to lukej.huan@gmail.com
ML Researchers and Fellows
Intuition Machines, Inc.
Interested in working on hard problems at scale?
Intuition Machines, Inc. builds ML products and services used by some of the largest companies in the world. Come learn from and collaborate with our veteran team of machine learning and distributed systems experts, hailing from Stanford, MIT, Apple, and Cloudera. We are also in a unique position to be able to leverage huge datasets for semi-supervised learning.
We are now opening applications for our 2019 Fellows program. You have the option of working from our San Francisco or Helsinki offices, or remotely: we have a large distributed workforce supplementing the teams in our offices, and are comfortable with remote collaboration.
As a discipline still finding its theoretical footing, doing ML at scale tends to uncover unique problems and occasionally spark unique insights. Our work is geared towards applying some of our more theoretical ideas, as we believe this is one of the best ways to push forward the field.
We conduct original research in areas like unsupervised and active learning, motivated by the unique problems and datasets we have access to as one of the larger users of cloud resources for ML. You will have the opportunity to publish with our scientists if your work yields results, and we have a strong commitment to open source code and (when possible) datasets.
Research interests:
We are very interested in taking a more geometric view of neural network processes. A background in algebraic geometry, representation theory, or statistical physics will be helpful.
Separately, we are investigating future directions for active and online learning, with the unique capacity to rapidly test and apply at scale ideas in this area.
Finally, we are pursuing some interesting directions in multi-task or joint representation learning for anomaly detection, and in time series analysis.
Please contact Tom Bishop tom@intuitionmachines for more details, or find us at the conference!
Link:
http://www.imachines.com
(Sr.) Machine Learning Scientist (Bio/Chem)
Flagship Pioneering
Do you want to work on some of the biggest problems in healthcare? FL65 is an early-stage company developing a new type of therapeutic for preventing and treating chronic diseases in a safe and low-cost manner. We're looking for people with experience working with biological/chemical ldatasets or graph representations.
FL65 is the latest Flagship Pioneering company. With over $3 B under management, Flagship Pioneering has created over 40 groundbreaking companies in the past 15 years in health and sustainability, including Moderna, Rubius, Seres, and Indigo Ag.
Link:
https://www.linkedin.com/jobs/view/1236068215/
Senior ML engineer
Giant.AI
A US based robotics startup is looking for senior engineers who can do both engineering and research work in such fields as computer vision, deep learning, and reinforcement learning.
Looking for people who either are in Saint Petersburg or who are ready to relocate.
Compensation also includes stock options plan depending on your skills.
REQUIREMENTS
At least MS in a relevant field.
Successful experience in deep learning.
Successful experience in computer vision and/or reinforcement learning.
Strong Python skills.
Team player.
Spoken English.
Senior Machine Learning Engineer/Scientist
Jane Street
Jane Street is seeking exceptional candidates for the role of Senior Machine Learning Engineer/Scientist.
About You
- At least three years experience building ML infrastructure and production models in an industrial setting.
- Very strong coding skills, including experience developing and deploying large software projects.
- Deep experience with applying one or more major ML packages (e.g. TensorFlow, PyTorch) to very large data sets.
- A desire to push the boundaries of ML to better deal withthe problems specific to financial data including low signal-to-noise ratios and non-stationarity.
- No finance background is necessary.
Responsibilities:
- Help lead the effort to expand and improve Jane Street's ML infrastructure and data pipeline.
- Collaborate with teams of researchers and traders in our offices around the world to design and train ML models.
- Invent new techniques when necessary to deal with the specific problems Jane Street works on.
Link:
https://www.janestreet.com/join-jane-street/apply/?city=nyc&category=quantitative-research&position=machine-learning-engineer-scientist&availability=full-time
Postdoctoral Researcher (Medical AI)
Kings College London
We are launching a Wellcome-funded, £4.5-million, four-year programme of translational research to transform neurological care, through the development and application of innovative machine learning. This project will unify multidisciplinary expertise across UCL’s Institute of Neurology and KCL’s School of Biomedical Engineering & Imaging Sciences, and operate in close collaboration with five London hospitals.
It will draw on clinical data sets of unprecedented size -- including 2,000,000+ brain MRI volumes -- not only to create state-of-the-art predictive and inferential models of clinical and operational utility, but also to pioneer wholly new methodology in the field of machine learning, feasible only with data of this scale, quality, and diversity. The programme will be supported by a hospital-embedded data and computation- al infrastructure, including ~5 petaFLOPS of GPU computing, providing ample computing power within our partner hospitals.
We are building a large team of outstanding researchers with a passion for innovation with rapid, real-world impact, achievable within the life-time of the project. Successful applicants will join what is probably the largest and most ambitious project of its kind, apply their skills to globally unique datasets, and help deliver a flagship programme of translational and impactful research.Want to know more? contact Jorge Cardoso: m.jorge.cardoso@kcl.ac.uk
Deep Learning Applied Scientist
Microsoft
Our team is part of Microsoft AI & Research working on deep learning to power end user experiences relating to the following four areas:
a. Relevance of search results on Bing.com
b. Question-answering system for Bing and Cortana
c. Enterprise search for sharepoint and other work related content
d. Recommendation system for news feed system
The team works on projects across the entire deep learning life-cycle. This includes deep learning models for ranking, summarization, universal representation learning, reinforcement learning, question-answering, user modeling, template free language generation, etc. Apart from this, we also work on improving training performance, run-time optimized inference, distributed training, and other similar aspects. The team works across most of the common modeling scheme like RNNs, CNNs, VAEs, GANs, etc. Most of these models are targeted to serve live user traffic and hence have to be optimized for serving at very tight latency constraints. We use a diverse set of hardware to serve our models including CPUs, GPUs, and FPGAs.
Are you looking for opportunities to deliver innovations to tens of millions of users every month that impact their daily life? Do you want to be part of a fast-cycle, high visibility team with ambitious goals and intensive competition? We are hiring extremely talented, highly motivated and productive applied scientist with expertise in information retrieval, deep learning, machine learning, natural language processing, data mining and large scale distributed computation.
We are hiring at all levels from entry level to principal.
postdoc/research position a large scale project in healthcare/ML
University of Pittsburgh / CMU
We are seeking to appoint a highly motivated postdoctoral fellow in statistical genomics to join Dr. Batmanghelich’s lab (BatmanLab) in a joint appointment between the University of Pittsburgh and Carnegie Mellon University.
We are part of a multi-disciplinary team of statisticians, geneticists, computer scientists and clinicians who work together to understand the genetics and genomics of diseases. The project team spans multiple universities and industry with significant potential for producing high impact publications. The fellow will help shape the future direction of the research group and have the opportunity to develop their own research projects within the scope of the group’s interests.
The fellow will drive exciting new projects using genomic data from large cohorts of richly phenotyped individuals, including COPDGene (currently > 10,000 with follow-ups) and UK Biobank (currently 500,000 participants) and more. S/he will work with on multiphenotype from brain and chest imaging as well as electronic health record data. We aim to combine that data with multi-omic studies of disease-relevant cell types to identify new therapeutic targets.
Interested applicants should e-mail a curriculum vitae, a brief description of their research interests, a link to their public code repository (e.g., gitHub), and 3 letters of reference to: Dr. Kayhan Batmanghelich, E-mail: kayhan@pitt.edu
Link:
https://kayhan.dbmi.pitt.edu
Machine Learner (or insert fancier title here)
UnifyID labs
Do you want to experience an imagenet-like moment at the intersection of human kinematics and motion sensor data? Do you want to work in a fun, supportive and publication-positive environment building a sci-fi-esque technology that will impact millions of lives?
If so, UnifyID labs is hiring!
PS: DM me if you're interested or have a bad pun to share or are looking for free lunch sponsorships
Link:
https://unify.id/labs/
Deep Learning Research Engineer
Qualcomm AI Research
At Qualcomm AI Research, we are advancing AI to make its core capabilities - perception, reasonimg and action - ubiquitous across devices.
Our key research areas are:
Power efficiency: Model design, compression, quantization, activation, algorithms and efficient hardware
Personalization: Continuous learning, model adaptation and privacy-preserved distributed learning
Efficient learning: Robust learning through minimal data, unsupervised learning and on-device learning
System architecture: Multi-task and multi-modal learning, sensor fusion and cloud-edge systems
Link:
https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionid=1971860
Data Scientist - NLP
Outreach Corporation
Our Vision of You
You have a solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs, etc), and experience applying these techniques to solve real problems in one of the modern distributed ML and deep learning frameworks (TensorFlow, PyTorch, MxNet, etc.)
You have experience working with distributed data processing frameworks such as Spark.
You have strong programming skills in Python and are familiar with at least one other object oriented programming language (C++, Java, Scala, etc.)
You understand the entire lifecycle of machine learning product development, from inception to production
You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting
You go above and beyond to help your team
You are honest, admit mistakes, and own fixing them
You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills
You have an MS in Computer Science, Statistics, or a related quantitative field, or equivalent industry experience. PhD degree and a track record of publications at conferences such as NAACL, ACL, CoNLL, ICML, ICLR, IJCAI, SIGIR, EMNLP, KDD, WWW, NeurIPS, AAAI, CoLING are preferred.
About Outreach
Since our first days here at Outreach learning about how people communicate, we became obsessed with understanding our customer's’ problems. As a result, we’ve built the most loved product on the market and won the hearts and minds (and business) of some incredible organizations around the world.
In addition to our relentless focus on the customer, we’ve received over $239 million in venture funding, been listed on Seattle Business Magazine’s 100 Best Places to Work, among many other awards. We achieved Unicorn status with $1.1 billion valuation after our $114 million Series E funding in April 2019.
We aren’t slowing down anytime soon.
Deep learning specialist
Shell
Looking for deep learning specialist to tackle the problem of training and inference on ultra-large, high dimensional subsurface geophysical data with sparse labeled data. Also interested in deep reinforcement learning and active learning skills.
Link:
None
Applied Researchers at all Levels
Tencent
Join the Center of Applied Research at Tencent PCG, a newly created BG to bridge content and users. Positions available currently for video creation, understanding, and recommendation.
Research Scientists at all levels
Visa Research
We have openings for research scientists on fraud detection, recommendation, cryptography / security, and block-chain. Ping me if you’re interested!
Visa Research conducts applied and fundamental research, and was created to lead the company in pushing the boundaries of payment related technologies on a global scale. We engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people.
Responsibilities:
- Research and develop cutting-edge technologies across a large spectrum of disciplines.
- Advance the development and integration of big data infrastructure that is highly scalable, efficient, extensible, and secure.
- Deliver high-impact intellectual property values through research publications and patents.
- Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points
- Collaborate with our partners in academia, industry and government on key initiatives to advance our security research agenda.
- Work with team members and cross-functional teams (internal/external) that include representation from Technology.
Requirements:
- PhD degree in computer science, computer engineering, electrical engineering, mathematics, or equivalent field with a focus on recommendation systems.
- Expert knowledge in machine learning and deep learning.
- Research experience at well-known industry research labs.
- Strong track record in research publications and impact in the research community.
- Strong verbal and written communication skills.
- Demonstrated ability to think outside the box and innovate
Link:
https://usa.visa.com/about-visa/visa-research.html#5
Research Scientist - Machine learning for drug discovery (m/f/d)
Bayer
// Your tasks and responsibilities
- Active member of a highly interdisciplinary and cross-organizational and cross-corporate team, including scientists from multiple European Pharma companies
- Contribute to the implementation and evaluation of a deep learning platform to leverage data in computational chemistry, pharmacokinetics, and toxicology
- Extensively validate and further improve the deep learning platform for various property predictions of drug development compounds
Research, design, and implement deep learning algorithms for analysis problems related to prediction of properties of small molecules and proteomic data
- The position is within the Machine Learning Research department, located in Berlin
The applicants are expected to start July 2019
Who you are
- PhD degree in bioinformatics, computational biology or chemistry, computer science or related fields and a solid background in chemistry, biology and machine learning
Profound experience with state-of-the-art machine learning methods (e.g. graph convolution, representation learning, multitask learning) and model selection concepts is an imperative prerequisite
- Excellent programming skills in Python (PyTorch or TensorFlow, RDKit) are essential, additional skills in R, or C++ would be of advantage. Proficiency in writing clean, fast, idiomatic Python code.
- Expertise in handling, processing, integrating and analyzing data sets related to research in the pharmaceutical industry
- You are a highly creative person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks
- Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams
- Willingness to travel between research sites
- Oral and written proficiency in English is mandatory
Link:
https://karriere.bayer.de/en/job/Research-Scientist-Machine-learning-Deep-learning-m-f-d--SF40077_en_US.html
Machine learning research engineer (audio & speech)
Dolby Laboratories
Dolby’s Applied AI team is looking for a Research Engineer to create and deploy audio and media technologies using machine learning. We are using machine learning to enable new applications and push the state of the art for existing applications.
Job Responsibilities
o Work closely with researchers and other experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
o Use machine learning to create new solutions and enhance existing applications.
o Collaborate with researchers to combine domain knowledge with state-of-the-art machine learning techniques.
Requirements
o Ph.D. or master’s with 2 years of experience in Computer Science or similar
o Highly skilled in Python or a similar language and one or more popular deep learning frameworks (TensorFlow, PyTorch, Caffe etc.)
Link:
https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=35450&company=Dolby&username=
PostDoc Healthcare AI
University of Edinburgh
We have received significant investment from the Royal Academy of Engineering, Canon Medical Research Europe and the University of Edinburgh to develop new algorithms for learning models that can diagnose and predict disease.
We are looking for an enthusiastic postdoctoral researcher to join our team and work in close partnership with industry, academic experts in deep learning and clinicians to address the challenges of artificial intelligence in healthcare bridging imaging with non-imaging data.
Areas of particular interest include: disentangled representation and multimodal (imaging and non-imaging data) learning, semi and weakly supervised learning and generative models for handling uncertainty.
The candidate will:
**Join a dynamic, international team of several postdocs and students working in the area of healthcare and deep learning at the University of Edinburgh - a powerhouse in artificial intelligence, engineering and medicine
**Contribute in an exciting project where deep learning meets imaging and other healthcare data directly addressing industry and societal needs
**Collaborate closely with the Edinburgh-based R&D centre of Canon Medical, a conglomerate in medical imaging
Interact with several experts in cardiovascular disease from the Centre for Cardiovascular Science and the Clinical Research Imaging Centre at Queen's Medical Research Institute and from the USA and Japan.
This position is fixed term for a period of 36 months from August 2019 (can be extended based on performance).
Requirements:
* PhD in electrical engineering, computer science or related discipline
* record of international publications demonstrating prior experience in one or more of machine learning, computer vision, medical image analysis
* good programming skills
* strong mathematical background
* good communication skills
* ability to work within a team
Link:
https://edin.ac/2PF6P9x
ML Researcher
Recursion Pharmaceuticals
We have various openings in data science, machine learning, engineering, and biology. Come join us in beautiful Salt Lake City where mountain adventures are 30 mins away, cost living is low, and commutes < 20 mins. We have a gourmet chef that serves lunch every day, a 70 ft rock climbing wall in the office (srsly) and a great corporate culture. We have a team of 15 data scientists and 15 data/software engineers at our tech focused drug discovery shop. Also look out for our data release at rxrx.ai
Link:
https://boards.greenhouse.io/recursionpharmaceuticals
Sr. Deep Learning Hardware Engineer
Samsung Semiconductor Inc.
OVERVIEW:
Are you passionate about exploring computer architectures for deep learning? Are you motivated to push the limits of Hardware Accelerators capabilities for vision and Speech related Products? If so, Samsung’s architecture group is looking add you to our team.
Samsung is working on the next generation architecture for NPU, Neural Processor Unit, to be used in handsets, ADAS, and mobile devices’ next generation Samsung products.
JOB RESPONSIBILITIES:
To define micro-architecture of key hardware component of neural network acceleration hardware, prototype hardware designs.
Analyze the performance of various machine learning/DL algorithms on existing/new architectures.
Identify bottlenecks and propose creative solutions to improve them. Explore the commonality between deep neural networks and visual computing.
Do area and power optimization analysis.
Propose and specify useful hardware optimizations.
Research novel hardware techniques for future accelerators
REQUIRED SKILLS:
Masters, PhD, or equivalent experience
Strong Verilog, SystemC, C++ and Python coding skills, computer and processor architecture concepts, hardware design verification
Familiarity synthesis and simulation design tools,
Masters, PhD, or equivalent experience
Desirable – neural networks and machine learning concepts, FPGA development experience, knowledge of signal processing, linear algebra, close-to-hardware level programming experience, experience with using and modifying Caffe code and/or other neural network development frameworks
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/?p=job%2FoUPW7fww
Neural Processor (Deep Learning) Sr Software Engineer
Samsung Semiconductor Inc.
Overview:
Are you passionate about exploring deep learning algorithms? Are you motivated to push the limits of Deep Neural Networks capabilities for vision and Speech related Products? If so, Samsung’s ASL architecture group is looking add you to our team.
Samsung’s Advanced Systems Lab (ASL) is working on the next generation architecture for NPU, Neural Processor Unit, to be used in handsets, ADAS, and mobile devices’ next generation Samsung products.
Responsibilities:
The qualified individual will be responsible for implementing and documenting the SW architecture for the next generation Deep learning accelerator engine. This includes neural network model optimizations, translators, debugging model operation, interfacing to hardware model (e.g. SystemC), interfacing to hardware prototypes, benchmarking performance and other related software development as necessary.
Minimum Qualifications:
MS in Computer Engineering or related areaSolid C/C++, Python, Ruby, Java, or equivalent
Solid scientific computing skills
Solid Linux, embedded Linux (ARM) programming skills
Familiarity with machine learning, deep learning, TensorFlow, Caffe, & PyTorchSolid knowledge, ability to write code parsers, translators, code generators
Solid knowledge optimizing, accelerating code
Excellent communication and presentation skills
Available to travel internationally 5% or more
Strong ability to debug software, prototypes, algorithms, experiments
Must be a quick learner with excellent problem solving skills
Must be motivated and able to work without supervision
Preferred Qualifications:
PhD in CS or related areaFamiliarity with hardware concepts, computer architecture, SystemC modeling, FPGA, hardware model and prototype debugProficiency in deep neural networks, deep learning, classical machine learning
Familiarity with GPU, vector processor, DSP programming, ARM NEON, NVIDIA CUDA
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/?p=job%2FosPW7fw4
Neural Processor (Deep Learning) Research Scientist
Samsung Semiconductor Inc.
What we are looking for:
Imagine what you could do here. At Samsung, new ideas have a way of becoming innovative products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a rapidly changing environment where your technical abilities will be challenged on a day-to-day basis? Samsung is searching for a world-class researcher in deep learning and it’s application to computer vision, speech, text and other domains, with the goal of improving specific problems encountered in Samsung’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.
Samsung is working on the next generation architecture for NPU, Neural Processor Unit, to be used in handsets, ADAS, and mobile devices’ next generation Samsung products.
Responsibilities:
Research, develop deep learning-related algorithms to optimize execution of neural network models on neural processor hardware.
Research and develop high-level architecture and micro-architecture for neural processor hardware.
Implement neural processor behavior/functional models (e.g. SystemC or C++)
Implement NPU synthesizable code, simulate, debug, and optimize.
Benchmark models, simulations and the digital prototypes.
Minimum Qualifications:
Masters, PhD, or equivalent experience in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, or related field.
Strong C++ and Python coding skills,
Experience with using and modifying TensorFlow, Caffe, & PyTorch code and/or other neural network development frameworks,
Familiarity with neural networks and machine learning concepts, processor architectures, and hardware architecture concepts
Desirable – knowledge of signal processing, linear algebra, Halide, OpenVX, GPU OpenCL/Cuda programming, image processing, and compression techniques
Link:
https://www.samsung.com/us/samsungsemiconductor/careers/?p=job%2Fo5YV7fwP
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.
Link:
https://careers.unity.com/position/software-engineer-machine-learning/1629118
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.
Link:
https://careers.unity.com/position/senior-software-engineer-distributed/1612126
Senior Software Engineer (Unity Expert), 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. This is a unique and challenging role that sits at the intersection of Unity game development and machine learning systems. No knowledge of machine learning is needed, but must have experience building and optimizing games in Unity, architecting software (design and implementation) and building UI/Editor tools.
Link:
https://careers.unity.com/position/senior-software-engineer-unity/1653057
Research Scientist Deep Learning
Philips Research
You are a creative and passionate researcher and you want to bring the latest innovations of Deep
Learning and Artificial Intelligence to medical applications.
Your Role
Bring Deep Learning expertise to a research project in the field of medical imaging:
• Interact with medical professionals to determine their needs and create innovative solutions
• Design and implement experimental software prototypes, and conduct their validation
Transfer innovations from research to products:
• Participate in the research community (Philips Research, Universities and Research Institutes)
• Work with Philips R&D in the Netherlands and USA to transfer software prototypes into
products
Lab is located in Suresnes, very close to Paris.
Link:
https://jobs.philips.com/suresnes-fra/research-scientist-deep-learning-fh/A707AC9B900D409E89CCCE488E00A027/job/
ML research scientists and engineers at Babylon Health
Babylon Health
Babylon Health is looking for passionate research scientists and engineers to work on machine learning problems in order to improve the life of millions and make health care affordable and accessible for everyone.
We work on a broad range of topics, from natural language understanding to streamline deployment of ML models.
Check out our poster #50 Thursday AM
Link:
https://jobs.lever.co/babylonhealth/9818dd85-cf22-46b9-a194-21794ba2667f
Senior software engineer
Nines
Front/back end or full stack engineer for a medical devices company.
Link:
None
Senior data scientist
Unity technologies
Please see link
Link:
https://careers.unity.com/position/senior-data-scientist/1661787
Senior Data Scientist, Games Economy Optimizatio
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.
Link:
https://careers.unity.com/position/-senior-data-scientist-games-economy/1185960
AI/ ML Research Manager/ Scientist/ Engineer/ Intern
Verisk Analytics
Verisk| AI is looking for AI/ ML Manager/ Scientist/ Engineer/ Intern for publishable R&D with applications in NLP, speech, vision and other areas.
Are you a faculty/ student/ researcher? Would you like to work in an AI Lab with impact across 30 business units in more than 30 countries? Do publishable research? Collaborate with other top faculty/ researchers? Create deployable products? Work with large, market-wide data? Do want to work in the US/ UK/ Europe/ India?
Come be a part of us as an academic partner, or a research/ engineering manager, scientist, engineer, a postdoc, an intern or just for an open collaboration on a blue sky fundamental / applied research problem.
Verisk Analytics is a large B2B data analytics company. We fly planes & drones, we collect news & social media data, weather data, financial transactions, and much more! We work with market wide data which includes images, videos, text and audio. We create country-wide models, for example, for agriculture, environmental phenomena and for epidemics/ pandemics etc.
If interested, please drop me a line here or contact me via LinkedIn at https://www.linkedin.com/in/maneesh-singh-3523ab9
Link:
https://www.linkedin.com/in/maneesh-singh-3523ab9
Senior Data Scientist Marketplace
Unity Technologies
https://careers.unity.com/position/-senior-data-scientist-marketplace/1580632
Link:
https://careers.unity.com/position/-senior-data-scientist-marketplace/1580632
AI/ML/Data ***Scientist***
Domo
Work with data from any industry and collaborate with multiple business units (marketing/ sales/ product/ engineering) at Domo!
Domo is a platform that connect all of you people, data, and systems in one place. The platform ingests data from hundreds of different APIs as well as access many different databases, data lakes and IOT data so your data is always up to date. Domo allows anyone to connect and leverage the power of their data.
At Domo our mission is to accelerate the productivity of every users use of their data, whether they are the CEO, an analyst, or a front line employee.
We are looking for scientists of all experience levels that will work on ML applications to improve our platform, ML research, experimentation, statistical analysis, and data infrastructure. Come join us in the beautiful Salt Lake area with affordable cost of living with highly competitive pay.
Link:
None
Research Scientist
Emerald
EMERALD IS A TOUCHLESS SENSOR AND MACHINE LEARNING PLATFORM FOR HEALTH ANALYTICS.
FOUNDED BY MIT FACULTY AND RESEARCHERS, EMERALD IS BASED ON AWARD WINNING WIRELESS AND MACHINE LEARNING RESEARCH. EMERALD HAS ALREADY BEEN DEPLOYED IN OVER 200 HOMES AND IS BEING USED BY MULTIPLE LEADING DRUG COMPANIES AND DOCTORS.
We are actively hiring ML researchers. Candidate having PhD degree in related fields with strong background in computer vision and machine learning is wanted.
Link:
https://www.emeraldinno.com
Research Scientist / Engineer / Intern
Numer.ai
Numerai is the world's first hedge fund with its own distributed research platform designed specifically for AIs. It uses its cryptocurrency to incentivize tens of thousands of anonymous data scientists around the world to collaborate to create the best predictive models in history.
Numerai is a global artificial intelligence tournament to predict the stock market. You download our data, build a model, and upload your predictions. Because we encrypt our datasets with structure-preserving encryption techniques, we're able to give away all of our data for free. This turns the stock market into a machine learning problem — so you don’t need to know anything about finance to participate.
Link:
None
NLP Scientist
Babylon Health
At Babylon we are working towards making healthcare affordable and accessible for every human being on Earth. It is an ambitious mission that will require us to solve many challenges on multiple forntiers.
Our research team is currently working in various fields such as Intent Recognition, Information Extraction, Automatic Speech Recognition, Graph Convolutional Networks and Probabilistic Graphical Models.
The NLP group is focusing on information extraction from clinical text, various forms of intent recognition, and automatic speech recognition. We are interested in developing text embedding models for classification with no or little labelled data; more adequate similarity metrics for embedded text (see poster #50 on Thursday morning & poster @ NAACL'19); developing flexible conversational agents that are able to handle free text inputs while maintaining transperancy; language models applied to speech recognition as well as other generative models applied to tasks such as disease prediction.
We are also interested in further exploring word sense disambiguation in the context of medical concept linking and general named entity recognition. Another topic of interest is text summarisation for narratives as well as conversations.
We are looking for NLP scientists to join our team based in London.
Applied Research Scientist
Mila
Mila is looking for talented machine / deep learning experts to work with industrial partners as well as academic and research institutes on challenging projects in various sectors of the economy.
Link:
https://mila.quebec/en/2019/05/applied-research-scientist-machine-learning/
Machine Learning Manager
Mila
Mila is looking for a machine / deep learning manager to manage a team of machine learning researchers working with industrial partners as well as academic and research institutes on challenging projects in various sectors of the economy.
Link:
https://mila.quebec/en/2019/05/machine-learning-manager/
Machine learning research engineer
Dolby laboratories
Dolby’s Applied AI team is looking for a Research Engineer to create and deploy audio and media technologies using machine learning. We are using machine learning to enable new applications and push the state of the art for existing applications.
Job Responsibilities
o Work closely with researchers and other experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
o Use machine learning to create new solutions and enhance existing applications.
o Collaborate with researchers to combine domain knowledge with state-of-the-art machine learning techniques.
Requirements
o Ph.D. or master’s with 2 years of experience in Computer Science or similar
o Highly skilled in Python or a similar language and one or more popular deep learning frameworks (TensorFlow, PyTorch, Caffe etc.)
Link:
https://career4.successfactors.com/career?career%5fns=job%5flisting&company=Dolby&navBarLevel=JOB%5fSEARCH&rcm%5fsite%5flocale=en%5fUS&career_job_req_id=35450&selected_lang=en_US&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&_s.crb=z%2beeQstez5tfevTj1Bjp7j%2bxLC4%3d&jobPipeline=Indeed
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
Sr. Applied Scientist
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
Researcher
Wayve
Ready to be a part of the future of autonomous vehicles?
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, e.g. CVPR, ICRA, NIPS, ICLR, etc
Useful experience:
Thorough knowledge and demonstrable experience in computer vision, reinforcement learning or robotics.
Industrial or academic experience in software, automotive, robotics, tech or gaming is useful
Ability to understand, author and critique cutting-edge research papers
Ability to create high quality code and familiarity with agile development, CI, code-reviewing, C++, python, linux, git
PhD/Masters in a relevant area is a big plus
What we offer:
Competitive compensation with salary and equity
Immigration support to work in the UK
A position to shape the future of autonomy
Immersion in a team of world-class researchers, engineers and entrepreneurs
Wayve is built on people and their differences gives us strength. We are proud to be an equal opportunities
Link:
https://wayve.ai/careers?gh_jid=4106831002
Chief Data Scientist
Ginger
Responsibilities
Set and execute on a vision for building data products to drive better care for our members while impacting key business metrics
Lead development of product-supporting technology using advanced AI, ML, and DL
Drive data-driven decision making for the product, marketing and business teams at Ginger
Collaborate with product management, engineering, design, marketing, clinical and leadership in defining and executing on the data roadmap
Build and lead a world-class team of machine learning scientists and data analysts evolving distinctive practices
Identify areas of opportunity where analytics can drive improved performance, lead and oversee key analytic projects
Inform the data architecture and technology infrastructure that is required
Provide technical leadership and mentorship
Be a thought-leader internally and externally on data used to transform mental healthcare delivery
Be a hands-on contributor to the data science products, initially, and as needed later on
Applicable skills
PhD in computer science, applied math, statistics, or related tech field with 8+ years experience building data-powered products & 4+ years managing data scientists
Track-record of leading high-performance teams building impactful data products and driving business decision making through AI, algorithms and data
Strong applied skills in machine learning, NLP and statistics to meaningfully solve complex problems
Strong communication skills and ability to work collaboratively in a cross-functional setting
Ability to translate business requirements from key stakeholders into applied data science tools and products
Experience with Caffe/TensorFlow/Torch/Keras/DL4J or similar DL frameworks
Experience with scale-out Big Data frameworks such as Spark, Hadoop
Programming experience with R/Python/Scala/Julia/Swift/C++, or other related programming languages
Bonus
Experience in healthcare
Contribution as a thought leader in the field of machine learning and AI
Highly cited public
Link:
http://ginger-staging.webflow.io/apply?gh_jid=1603936
Senior Technical Writer
Trend Micro
We're looking for experienced and talented senior technical writers to join the Human Interface Engineering (HIE) team at our China Development Center in Nanjing. As a Senior Technical writer, you will work with product managers, design team members, software engineers, and QA engineers to create high-quality print and online documentation for network antivirus and Internet content security software products and services. We are committed to providing our customers with world class security products with world class user documentation.
Responsibilities:
1.Deliver high quality documentation on large/complex projects for enterprise, consumer/small business, and mobile security solutions (both online and print).
2.Plan, develop, and review documentation sets based on engineering specifications, hands-on use of interim software builds, research, and interviews with subject matter experts.
3.Contribute to user interface designs and overall product quality through reviews and collaboration with other departments.
Link:
None
AI Scientist
Invitae
Invitae is the largest and fastest growing genetic diagnostic company in the world. Our AI team is looking for scientists interested in computer vision, graph embeddings, information retrieval, or human in the loop expert systems. Scientists at Invitae work with internal engineers as well as academic collaborators to bring SOTA methods to understanding genetic and patient information.
Link:
https://boards.greenhouse.io/invitae/jobs/1469676?gh_jid=1469676
AI Scientist | AI Engineer
PAIGE
PAIGE is a start-up using machine learning to improve cancer diagnosis. We're looking for AI Scientists and Engineers to join us. You'll be part of a team of world-leading experts in machine learning, computer vision and pathology.
Requirements for AI Scientist Role:
- PhD degree (or defending very soon)
- Publication record in venues such as CVPR, ICCV, NeurIPS, TPAMI, ICLR, IJCV, MICCAI, etc.
- Strong Python coding skills, with expertise in deep learning for computer vision
Requirements for AI Engineer Role:
- BS or MS in computer science or related field
- Strong Python coding skills, with expertise in deep learning for computer vision
Key Responsibilities:
- Work with our AI Scientists and Engineers to develop and assess deep neural network models
- Author top-tier journal and conference papers on your research at PAIGE.
- Attend conferences to present your work.
In addition to our excellent benefits package, we provide competitive salaries and stock options to our employees.
If you are interested, send me a note and let's meet up at ICLR.
Link:
https://paige.ai/careers
Applied scientist and Software Engineers - Microsoft Search and AI
Microsoft
Come work on cutting edge deep learning and big data technologies that power experiences for 1 b+ users within products such as Bing , Microsoft outlook and search .
We are looking for the best data scientists and software engineers who can help deliver on our vision of making every user and organization in the world more productive using the power of AI.
Link:
None
Machine learning engineer
GTN
We are looking for an outstanding Machine Learning Engineer with an adaptable and productive working style which fits in a fast-moving biotech startup. As a Machine Learning Engineer you will run experiments, optimise algorithms and productionise & implement state of the art machine learning models. The team is pioneering in drug discovery, using machine learning and quantum physics so you will work with Research Scientists to bring latest techniques to our platform.
Link:
https://gtn.ai/ML_Engineer.html
Lead/ Computer Vision Scientist
Orbital Insight
Our mission is to understand the Earth, including all of the economic and social trends impacting us. To do that we are building the best computer vision team in the world for large scale automated analysis of satellite and aerial imagery.
To support this work we need creative and expert engineers who are not afraid of taking on computer vision problems that have never been tried before. They must be familiar with a broad range of techniques and able to research and utilize the best methods to complete the task. We also need them to never stop improving both the coverage and accuracy of the objects and kinds of land use that we can recognize.
The world is a very big place. With a single photograph of Earth, like the famous “Blue Marble” from Apollo 17, the entire world can fit on a computer screen. However, with this image you would not be able to see much detail. To see the Earth and all of its rich features, you would need a lot more images. In fact it would take over 500 million images just to observe the land area of Earth at 1 meter pixel resolution.
In order to see detail and work at scale, we use computer vision and machine learning. Using convolutional neural networks, we have counted over 3 billion cars across global roads and parking lots, analyzing commercial patterns as well as city growth and development. Our global energy product uses computer vision to map floating roof oil tanks and measure the global volumes of crude oil. With this product, we were able to show that China has 200 million barrels of oil storage capacity that was unknown even to the trading community. Other projects include tracking rates of deforestation, measuring poverty levels around the globe, monitoring construction rates of new roads and buildings, and predicting crop yields. This is still the beginning of our mission to understand the Earth.
Link:
orbitalinsight.com
ML jobs at all levels in Amsterdam and Tel Aviv
Booking.com
Would you like to translate terabytes of data into unforgettable holidays for millions of people around the globe?
Booking.com, the world’s largest accommodation reservation website, is looking for top notch Data Scientists to join our growing machine learning community.
Our product development teams crunch endless amounts of data to provide our customers with the best possible experience. The projects focus on different business challenges that range from understanding and predicting market data, to ranking all properties on our website and providing our customers with the most relevant personalised recommendations or making customer service a frictionless experiences, preventing fraud, optimising our marketing bidding, and much more.
As a Data Scientist you’ll collaborate closely with Developers, Designers and Product Owners, and take full ownership of your work - from the initial idea-generation phase to the implementation of the final product on our website.
You will thrive at Booking.com if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.
B.responsible
- Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles
- Research & Development on how to improve customers’ experience, by using our vast amount of data
- Actively contribute to taking Data Science at Booking.com to the next level
B.skilled
- Minimum two years of relevant work experience
- Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Link:
Careers.booking.com
Data Scientist
Trend Micro
With serval years of machine learning application, TrendMicro is now trying to enlarge its Machine Learning team.
As a key position in the most crucial TrendX Project in Core Technology Department, you will be dedicated to the application of most cutting-edge machine learning knowledge, and experience working with a global R&D team.
Goals/Mission: Research and Deliver Machine Learning Solutions for Trend Security Products.
Responsibilities:
1.Study Malware characteristics for Mac OS/Windows/Linux or other cyber threats and work with threat experts to design possible features.
2.Handling real traffic data and analyzing distribution of features, selecting and/or changing features, purifying data, building up good quality training/testing data set as well as automatic processes for training and testing.
3.Research machine learning approaches to learn knowledge from real world data and prediction results should be comparable to worldwide competitors.
4.Based on gained knowledge from above research to provide advice or solution POC on new or enhanced methods of malware detection for Titanium, Office Scan, and other Trend Products.
5.Implement and deliver machine learning solutions as packages of Intelligent Engine embedded into Trend Products.
6.Join and speak in global security conference about research observations and findings.
Researcher/Engineer in Machine Learning - Samsung AI Center, Cambridge (1 year fixed term)
Samsung AI
Description:
The on-device AI team at SAIC-Cambridge seeks excellent candidates to work on cutting edge machine learning systems.
Key qualifications/skills
Degree: PhD preferable, exceptional candidates at Masters level will also be considered
Theory: Deep learning, Compression, Distributed Training
Programming: PyTorch, Tensorflow, Python, C/C++
Link:
https://drive.google.com/file/d/10Qsfn76y7Pk7p5RNWPsNOhDAAUM_pEMv/view
Applied Scientist
Amazon
The Amazon Demand Forecasting team seeks a Senior Applied Scientist to join our team. Scientists in Demand Forecasting lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down supply chain costs and enables the offer of lower prices and better in-stock selection for our customers.
Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As a Senior Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within Demand Forecasting, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale; since implementation decisions are made at a team level, it is likely that your work will end up in an Amazon product. Recent work to come from Demand Forecasting includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Deep Generative Models Workshop.
Responsibilities:
· Drive collaborative research and creative problem solving
· Constructively critique peer research and mentor junior scientists and engineers
· Create experiments and prototype implementations of new learning algorithms and prediction techniques
· Collaborate with engineering teams to design and implement software solutions for science problems
· Contribute to progress of the Amazon and broader research communities by producing publications
Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orient
Link:
https://www.amazon.jobs/en/jobs/742051/applied-scientist
Post-Doctoral Researcher in Deep Learning
University of St. Gallen
«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 8500 students and is one of the largest employers in the region, providing around 3100 employees with an attractive and innovative environment for research.
The newly founded Artificial Intelligence and Machine Learning [AI:ML] group headed by Prof. Dr. Damian Borth at the University of St. Gallen (HSG) is seeking two candidates for Post-Doctoral Research positions in Deep Learning. Both positions are part of a research project funded in the area of Deep Learning with particular focus on generative approaches.
The ideal candidate will have a PhD in computer science or closely related field, with demonstrated background in statistical analysis, signal processing, machine learning and deep learning. In this position, you will focus on developing novel deep neural networks (DNN) architectures and learning algorithms to generate synthetic data of multiple modalities and style transfer to multiple visual and auditory styles.
Link:
http://direktlink.prospective.ch/?view=81d909b7-7ba6-49e9-b5fd-f67d641cc955
Software Engineer, Autonomous Vehicles Simulation, AI@Unity
Unity Technologies
As part of our Automotive Industrial initiative, Unity’s Bellevue studio is expanding the team responsible for building support for autonomous vehicles simulation and visualization. This work will include implementing essential Unity features and tools to meet specific industry needs. You will be working in a multi-functional team of talented individuals and will be communicating with developers in other teams around the world, inside and outside the company.
You’re a skilled, hands-on developer with knowledge of technologies used in the automotive or robotic industries. You have used and interacted with complex systems. You’re passionate and resourceful, and intuitively work to turn complex requirements into simple, elegant solutions. And did we mention that you love real-time graphics? This team is creating the tools to push the next step for industry growth and adoption in Unity, and we hope you're as excited about it as we are!
Responsibilities
Develop new tools, API's, and implement protocols related to self-driving cars
Analyze and resolve technical and application problems
Assist with the collection and documentation of user's requirements, estimates, and work project execution plans
Collaborate with the team lead and other software developers to plan, design, develop, test, and maintain solutions based on the Unity editor and services
Participate in peer-reviews of solution designs and related code
Design, develop, and test in accordance with established standards
Create and maintain tests to ensure quality
Requirements
Experience developing with C# or C++
History of creating clean and efficient code and collaborating with other developers through components, services or APIs
Ability to discuss and understand code design fluently
Proven problem solving with experience investigating ambiguous problems in a software development environment
Experience working on complex projects independently as required
Bonus points
Experience with the Unity platform
Expe
Link:
https://www.linkedin.com/mwlite/jobs/view/1183820009?referenceId=LJCS5ix4R8iyNnSg1Hq1zg%3D%3D&eBP=JOB_SEARCH_ORGANIC
Senior Machine Learning Engineer, Machine Learning Graphics
Unity Technologies
Our Machine Learning Graphics team wants to redefine the process of content generation by exploring the intersection of Machine Learning and Graphics. From material generation to texture creation to environment content authoring, our Machine Learning Graphics team believes that we can better serve Unity developers by applying Machine Learning models to the Graphics Rendering process. If you are a team player who wants to be at the forefront of machine learning, graphics, and the video game industry, we want to talk to you!
You will have an immediate and significant impact on the team’s projects and direction. As a Machine Learning Engineer with our team, you will help identify the obstacles and potential applications of leveraging ML technology to expedite, ease, and empower the process of Unity content creation, and provide a lens of Machine Learning expertise to the team.
This role is located in Bellevue, WA. Candidates desiring remote work will not be considered at this time.
Requirements
Recent, hands-on experience in the field of machine learning, preferably using deep learning models
Experience working in an engineering organization, producing code for deployment
Exposure to latest Deep Learning techniques (CNNs, RNNs, GANs, RL, etc.)
Hands-on experience with one or more Deep Learning Framework (TensorFlow, pyTorch, Keras, MXNet, etc)
Experience working or strong interest in Graphics Engineering, Image Processing, or Computer Vision
Masters Degree or PhD in Computer Science, Computer Engineering, or equivalent experience
Bonus points
Expertise in physically-based image rendering, texture generation, facial animation and modeling, high-fidelity video game rendering, or 3D modeling
Experience in game and/or entertainment industry (animation, film, television, video games, etc.)
Experience working with multi-platform systems
Experience in close work with content creators (artists, animators, etc)
Experience in academic research or industry research — for exam
Link:
https://www.linkedin.com/mwlite/jobs/view/1006941828?referenceId=kdRad7YwSximlSnzbHjvYw%3D%3D&eBP=JOB_SEARCH_ORGANIC
PhD in statistical ML
ETH Zürich
Starting Jan 2020 or later. Strong mathematics, statistics and optimization background required. Previous research experience necessary.
Annual salary starts at 77K.
If interested, please contact me via email with CV and transcripts.
Deep Learning Researcher
Zebra Medical Vision
We make algorithms that find dieaseses and abnormalities in medical images (Xrays, CTs, etc.).
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
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
Virginia Tech
Applied machine learning
Link:
None
