Research Scientist (Robot Learning & RL)

Location: Full-time onsite in Downtown San Francisco, California, United States

Salary: Up to $230,000 base salary plus equity

Company

Frontier AI research lab building low-latency models that help AI understand, act, and cooperate with people in real time, with research spanning games, simulation, and robotics.

What you will do

• Develop policies using imitation learning, offline reinforcement learning, and online reinforcement learning.
• Build simulation environments and evaluations for control, planning, and cooperation.
• Research world models, hierarchical policies, and adaptation across tasks.
• Explore transfer from games and simulation into robotics.
• Connect learned policies with perception, memory, and conversational behavior.

Requirements

• PhD in robotics, machine learning, computer science, or equivalent original research experience.
• Strong publications at venues such as NeurIPS, ICLR, ICML, CoRL, RSS, ICRA, or IROS.
• Deep reinforcement learning knowledge and hands-on policy development experience.
• Strong Python and PyTorch skills.
• Experience with simulation, embodied learning, robotic control, or interactive environments.
• Enthusiasm for exploratory research and full-time onsite work in San Francisco.

Nice to have

• Experience with imitation learning, world models, sim-to-real, or human-AI cooperation.

Culture & Benefits

• Opportunity to own original research and shape an early research direction.
• Research focus spans reinforcement learning, embodied AI, and human-robot collaboration.
• Base salary of up to $230,000 plus equity.