Research Scientist, Robot Learning

Brahma Consulting Group

San Francisco (CA)

On-site

USD 150,000 - 230,000

Full time

6 days ago
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Job summary

Brahma Consulting Group is recruiting a researcher to own offline RL research for a well-funded robotics startup in San Francisco. You will work with an existing researcher on problems already defined, with room to pursue your own directions.

Your work will run on real robots, not just in simulation. You will train robot policies from large mixed-quality datasets, explore value learning with sparse rewards, and develop model-based RL and world models for robot control.

Qualifications

  • First-author RL papers at top ML venues.
  • Research depth and taste over general engineering skills.
  • Background in robotics or continuous control, or video/image generation with strong RL foundations.

Responsibilities

  • Train robot policies from large, mixed-quality datasets, including video without action labels.
  • Advance value learning for sparse rewards.
  • Develop model-based RL and world models for robot control.
  • Ensure RL holds up as data and model size grow.
  • Run clean experiments with reproducible baselines.

Skills

Offline RL
Robotics
Continuous control
Video RL

Job description

Brahma Consulting Group is recruiting on behalf of a well-funded robotics startup in San Francisco.

About the role

Our client is looking for a researcher to own their offline RL research. You'll work alongside an existing researcher on problems the team has already defined, with room to pursue your own directions. Your work will run on real robots, not just in simulation.

What you'll work on
  • Training robot policies from large, mixed-quality datasets, including video without action labels
  • Value learning when rewards are sparse
  • Model-based RL and world models for robot control
  • Making RL hold up as data and model size grow
  • Running clean experiments with reproducible baselines
What they're looking for
  • First-author RL methods papers at top ML venues
  • Research depth and taste over general engineering skills
  • A background in robotics or continuous control, or in video and image generation with strong RL foundations
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