Research Scientist, RL for Autonomous Planning & World Modeling

Added
1 day ago
Type
Full time
Salary
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Related skills

machine learning distributed systems reinforcement learning distributed training foundation models

๐Ÿ“‹ Description

  • Hybrid role reporting to a Principal Scientist.
  • Work on World Model post-training and evaluation.
  • Research and develop RL and Distillation techniques for Autonomous Vehicle Trajectory Planning.
  • Integrate research into Waymoโ€™s RL infrastructure with rigorous ablations.
  • Collaborate with engineering and research teams to share methods and best practices.

๐ŸŽฏ Requirements

  • PhD or Masters in CS, ML, Robotics, or related field with 3+ years RL/Foundation Models research.
  • Strong publications or significant open-source contributions demonstrating original work.
  • Experience with scalable, distributed model training (data parallel, FSDP, sharding).
  • Willingness to work with globally distributed inference infrastructure.

๐ŸŽ Benefits

  • Comprehensive health, dental, vision, life, and disability insurance.
  • Retirement: 401(k) with company match.
  • PTO: 20 days/year; Sick Time: 40 hours/year; various parental leave options.
  • Holidays: 13 paid days/year.
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