Member of Technical Staff, Frontier AI & Robotics (FAR)
Core
Develop breakthrough foundation models enabling robots to perceive, understand, and interact with the world, bridging state-of-the-art research with real-world deployment at Amazon scale.
Role type
Senior IC machine-learning engineer (robotics foundation models)
Builds
Multi-modal robotic foundation models, end-to-end vision-language-action models, and novel deep learning architectures for perception and manipulation.
Domain
Robotics, Computer Vision, Deep Learning, AI
Deliverable
production ML models
Required skills
Deep learning model development, robotics algorithms, Java/C++/Python, theoretical model application, patent/publication track record, complex problem solving
Preferred skills
Foundation models, large language models, sim2real transfer, multi-task learning, distributed training systems, large-scale robotic systems, PyTorch/JAX
Technologies
Python, PyTorch, JAX, Unix/Linux
Responsibilities
Drive independent research initiatives in perception and manipulation; Design and implement novel deep learning architectures; Lead full-stack robotics projects from conceptualization through deployment; Collaborate with platform and hardware teams for seamless integration; Contribute to technical strategy for next-generation robotics challenges.
Seniority
Senior, hands-on IC