Member of Technical Staff, Frontier AI & Robotics (FAR)

Amazon

San Francisco, CA, US
On-site
Deep learning architecture design
Sim-to-real transfer techniques
Multi-modal robot learning
This role drives foundational research to build intelligent robotic systems from the ground up at Amazon scale

Job Summary

  • This role drives foundational research to build intelligent robotic systems from the ground up at Amazon scale.
  • You will operate at the intersection of innovative AI research and real-world robotics, deploying breakthrough ideas into production.
  • The team leverages massive computational resources and rich datasets to train state-of-the-art foundation models for diverse robotic applications.

Matching Summary

This role drives foundational research to build intelligent robotic systems from the ground up at Amazon scale.

Skills & Requirements

Must-have

  • Deep learning architecture design
  • Sim-to-real transfer techniques
  • Multi-modal robot learning
  • End-to-end vision-language-action models
  • Foundation model development
  • Low-level control and state estimation

Nice-to-have

  • First principles thinking approach
  • Independent research initiative leadership
  • Hardware integration collaboration
  • Mentoring fellow researchers
  • Ambiguous problem solving skills

Key Requirements

  • Experience with reinforcement learning
  • Background in system identification
  • Expertise in dexterous manipulation mechanisms
  • Knowledge of efficient model inference
  • Proven track record in publishing research

Work Rights

Not specified

Tailored Resume

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