World Labs
Research Engineer / Scientist (Robot Learning)
$250K–$350K
San Francisco · On-site · Full-time · Posted Jul 28, 2026
- Experience
- 6+ years.
- Education
- PhD in robotics, machine learning, computer science, or a closely related field is strongly preferred.
- Visa sponsorship
- Visa sponsorship is available; success is not guaranteed for every candidate or role.
About the job
Develop and deploy end-to-end robot learning policies, emphasizing sim-to-real transfer, robust performance, and scalable training and inference.
What you'll do
- Design, implement, and productionize robot learning systems, including imitation learning and reinforcement learning for manipulation.
- Build training and evaluation pipelines for sim-to-real transfer, data generation, and policy scaling.
- Diagnose rollout failures and optimize policy robustness, generalization, training speed, and inference latency.
What they ask for
- 6+ years of experience in manipulation, locomotion, robot policy training, or related areas.
- Strong foundation in robotics, neural network designs, and sim-real transfer; deep experience with robot policy designs.
- Proficiency in Python and/or C++, with hands-on experience building research or production robotic systems.
- Experience with deep learning frameworks and low-level robotic controllers.
Nice to have
- PhD in robotics, machine learning, computer science, or a closely related field is strongly preferred.
Pay
$250K – $350K (base salary)
Tools
Python, C++, PyTorch, VLA, WAM
AI focus
Research and develop robot learning policies, including imitation learning and reinforcement learning, with sim-to-real transfer and real-world deployment.
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