…Vision Language Action (VLA) Models Robot Learning and Reasoning Foundation Models for Robotics Imitation and Reinforcement Learning Simulation, sim-to-real, real-to-sim…

…ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and Deep learning, including transformers, test-time compute, or reinforcement learning. Salary: $212,000…

…agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly…

…Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc. Knowledge of or experience in building production quality and large scale deployment…

…make learning stick – including eLearning modules (Articulate 360), demo videos (Descript), product playbooks, and field-ready resources housed in Seismic and reinforced via Allego…

…to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is…

…engineering or research experience in control and real-time embedded systems - MSc or PhD in Computer Science or Robotics - Deep understanding of reinforcement learning…

…We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you…

…to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is…

…Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital…

…Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital…

…driven wave of robotics, to today’s frontier in imitation learning, reinforcement learning, robot foundation models, and sim-to-real. Demonstrated ability to develop…

…the low-latency streaming serving path, and build the training and reinforcement-learning infrastructure that closes the loop. You will have the compute, data…

…Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious…

…Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious…

…We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles…

…Advanced knowledge in reinforcement learning, meta learning, or related advanced ML areas. Experience with search/ranking, recommender systems, or graph techniques. Background in financial…

…advanced fraud prevention platforms — spanning machine learning, graph intelligence, and MLOps. You will partner with Data Science, Engineering, Fraud Operations, and Model Risk Management…

…Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. Ability to engineer robust systems…

…About the role As a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models—with a…

…Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…multi-modal robot learning - VLA post-training, reinforcement learning - Physics-aware reconstruction, deformable simulation - MSc or PhD in machine learning and computer vision with…

…Mathematical and Statistical modeling, Machine and Reinforcement Learning, Optimization Methods, and Azure/Microsoft Data Science tools. Uses expertise to identify the right technique to…

…Our work spans preference alignment and reinforcement learning for recommendation systems, self-improving agentic AI, and efficient training and inference at scale. We publish…