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1X Technologies
Sunnyvale, CA, United States
Targeted start date: Immediately.Relocation provided. Research Engineers in reinforcement learning are generalists who develop reinforcement learning algorithms for humanoid locomotion and manipulation policies. A typical day involves prototyping reinforcement learning algorithms or building distributed infrastructure for training and simulation. Y
Job Source: 1X TechnologiesCoactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AICoactive AI
San Jose, CA, United States
Applied Machine Learning research scientist you will work coactively with the best in Machine Learning and data systems, building the foundation for understanding unstructured image and video data. What you’ll do: Conduct thorough market research to identify potential technological differentiators in the landscape of machine learning products. Fo
Job Source: Coactive AICoactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AINVIDIA
Santa Clara, CA, United States
We are now looking for an Applied Deep Learning Research Scientist with a focus on Sparsity: We are seeking DL researchers and/or computer architects to help future accelerators and neural networks take advantage of sparsity. This is an applied research position, with the goal of developing sparsity-related techniques (in isolation and combined wi
Job Source: NVIDIANVIDIA
Santa Clara, CA, United States
We are now looking for an Applied Deep Learning Research Scientist with a focus on Sparsity: We are seeking DL researchers and/or computer architects to help future accelerators and neural networks take advantage of sparsity. This is an applied research position, with the goal of developing sparsity-related techniques (in isolation and combined wi
Job Source: NVIDIANVIDIA Corporation
Santa Clara, CA, United States
Applied Deep Learning Research Scientist, Sparsity page is loaded Applied Deep Learning Research Scientist, Sparsity Apply locations US, CA, Santa Clara time type Full time posted on Posted 2 Days Ago job requisition id JR1982975 We are now looking for an Applied Deep Learning Research Scientist with a focus on
Job Source: NVIDIA CorporationPenn Foster
Santa Clara, CA, United States
We are looking for Research Scientists passionate about large generative models! NVIDIA is searching for world-class researchers in deep learning and natural language processing (NLP) to join our applied deep learning research team which pioneered the Megatron , MT-NLG , and DLSS projects at NVIDIA. Our team is pushing the boundaries
Job Source: Penn FosterSunnyvale, CA, United States
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.The Applied Reinforcement Learning team is responsible for all reinforcement learning applications across Meta's Family of Apps and Reality Labs. We conduct state-of-the-art industry research in reinforcement learning to bridge the gap between theoretical reinforcement learning and real-world problems. We also own Meta's central reinforcement learning platform, ReAgent (reagent.ai), which is also open-sourced as the production ready reinforcement learning platform.We are seeking Research Scientists to help us with a vision to bring reinforcement learning to large scale real-world systems. Our research scientists have an opportunity to work with top researchers in applied reinforcement learning to conduct industry research on reinforcement learning algorithms with a goal to achieve a better algorithm, design an algorithm in real-world applications, and apply their ideas at an unprecedented scale.
Applied AI Research Scientist - Reinforcement Learning Responsibilities:
Perform research to advance the science and technology of machine learning and reinforcement learning. Devise better data-driven models of human behavior.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Apply state of the art reinforcement learning technologies to achieve production impact and improve Meta users’ experience
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Has obtained a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, or relevant technical field.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience with Python, C++, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications:
Experience with reinforcement learning in applied areas beyond simple simulators.
Demonstrated experience in solving analytical problems using quantitative approaches.
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Experience working and communicating cross functionally in a team environment.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
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Email Alert for Applied AI Research Scientist - Reinforcement Learning jobs in Sunnyvale, CA, United States
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