Applied Scientist, Amazon Robotics
Core
Designing and training foundation models (VLA, reasoning, task planning) to enable generalization and multi-modal learning for robots operating in warehouses.
Role type
Senior Applied Scientist (Robotics Foundation Models)
Builds
Foundation models for robotics perception, policy skill acquisition, and task planning
Domain
Robotics, Machine Learning, Artificial Intelligence
Deliverable
production ML models
Required skills
Deep learning, Computer vision, Reinforcement learning, Imitation learning, Algorithms and data structures, Numerical optimization, Parallel and distributed computing, High-performance computing, Java/C++/Python
Preferred skills
State-of-the-art deep learning architecture design, Model pruning, Applying theoretical models in applied environments
Technologies
VLA models, Reinforcement learning frameworks, Simulators, Robotics hardware APIs
Responsibilities
Design and implement model architectures and training pipelines; Process and prepare training data with governance; Execute experiments on simulators and embodiments; Write clean code and contribute to training infrastructure; Conduct research and prepare technical reports; Collaborate with engineers and hardware teams
Seniority
Senior, hands-on IC