Applied Scientist, Amazon Robotics
Core
Designing and training foundation models (vision-language-action, reasoning, task planning) to enable generalization and multi-modal learning for robots.
Role type
Senior Applied Scientist (Robotics Foundation Models)
Builds
Intelligent robotics systems with reusable capabilities for perception, skill acquisition, and environmental understanding.
Domain
Robotics, Machine Learning, Artificial Intelligence
Deliverable
production ML models
Required skills
PhD in CS/ML/Engineering, publications at top-tier conferences, Java/C++/Python programming, machine learning model development, algorithm design
Preferred skills
Deep learning architecture design, model training/optimization/pruning, applying theoretical models in applied environments
Technologies
Java, C++, Python, foundation models, reinforcement learning, imitation learning
Responsibilities
Design and implement model architectures, process and manage training data, design and execute experiments for validation, write maintainable code and APIs, conduct research and documentation, collaborate with engineers and hardware teams
Seniority
Senior, hands-on IC