Worldlabs
Research Engineer / Scientist (Robot Learning)
- Confirmed live in the last 24 hours
- $250k–$350k
- Mid level
- Full-time
- On-site · San Francisco
- 6+ yrs exp
- Added 2 months ago
About this role
World Labs is seeking a Research Engineer/Scientist to contribute to the development of cutting-edge robot learning systems. This research-driven role involves designing, implementing, and productionizing robotic policies, with a strong focus on sim-to-real transfer and scalable training pipelines. Collaboration with other teams will be key to translating research into production-ready systems.
What you'll do
- Design and implement robot learning systems using techniques like imitation and reinforcement learning.
- Research and productionize robotic policies for speed, precision, and scalability.
- Improve training pipelines for sim-to-real transfer using methods like domain randomization.
- Develop end-to-end training and evaluation workflows for robot policies.
- Optimize policy performance across the stack for training speed and inference latency.
- Diagnose failure modes in simulation and real-world deployments.
What they're looking for
- Robot Learning
- Reinforcement Learning
- Imitation Learning
- Sim-to-Real Transfer
- Python
- PyTorch
- Robotics
Benefits
- Flexible PTO
- Paid parental leave
- Relocation support
- Visa sponsorship
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Worldlabs
Likely interview questions
- Describe your experience with sim-to-real transfer techniques and their challenges.
- Explain your experience with different robot policy designs (VLA, WAM, diffusion).