Robot Learning Scientist: RL & Embodied AI

Acceler8 Talent; San Francisco (CA); On-site; USD 207,000 - 253,000; Full time

Benefits offered by this job

Equity

Job summary

Acceler8 Talent is recruiting a Research Scientist in San Francisco to advance robot learning and reinforcement learning. You will own original research and contribute to early directions spanning RL, embodied AI and human-robot collaboration.

You’ll develop policies with imitation learning, offline/online RL, build simulations for control and planning, and explore world models and adaptation across tasks. This role is fully onsite in Downtown San Francisco.

Qualifications

• PhD or equivalent original research in robotics/ML/CS.
• Strong publications at major venues (NeurIPS/ICML/ICLR/CoRL/RSS/IROS/ICRA).
• Deep RL knowledge and hands-on policy development.

Responsibilities

• Develop policies using imitation learning, offline RL and online RL.
• Build and evaluate simulation environments for control and cooperation.
• Research world models, hierarchical policies and task adaptation.

Skills

Deep reinforcement learning

Python

PyTorch

Research publication track

Education

PhD in robotics / ML / CS

Tools

Simulation environments

Job description

Acceler8 Talent is recruiting a Research Scientist in San Francisco to advance robot learning and reinforcement learning. You will own original research and contribute to early directions spanning RL, embodied AI and human-robot collaboration.

You’ll develop policies with imitation learning, offline/online RL, build simulations for control and planning, and explore world models and adaptation across tasks. This role is fully onsite in Downtown San Francisco.