Robot Learning Engineer — Sim-to-Real Policies

World Labs Inc.; San Francisco (CA); On-site; USD 250,000 - 350,000; Full time

Job summary

World Labs Inc. is seeking a Research Engineer/Scientist in Robot Learning to develop state-of-the-art robot policies, with emphasis on simulation-to-real transfer.

You will work across robotics and machine learning, translating research ideas into production-ready systems. You will collaborate with research scientists, ML engineers and systems teams to design learning architectures, build scalable pipelines, and push the boundaries of autonomous agents in real-world environments.

Qualifications

• 6+ years of experience with manipulation, locomotion or robot policy training.
• Deep experience with robot policy designs (e.g., VLA, WAM, diffusion).
• Proficiency in Python and/or C++, with hands-on experience building robotic systems.
• Experience with deep learning frameworks (e.g., PyTorch) and low-level robotic controllers.
• Ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.
• Strong ownership, engineering rigor and focus on measurable improvements.
• Enjoy collaborating with a small, high-caliber team and maintaining code quality.

Responsibilities

• Design and implement modern robot learning systems, including imitation and reinforcement learning for manipulation.
• Prototype and productionize robotic policies with focus on speed, precision and scalability.
• Develop and improve training pipelines for sim-to-real transfer, including domain randomization and system identification.
• Collaborate with simulation and infrastructure teams to minimize the sim-to-real gap and integrate with real-robot stacks.
• Build end-to-end training and evaluation workflows from data generation to large-scale training.
• Optimize policy performance across training speed, inference latency and data efficiency.
• Diagnose failure modes in simulation and real-world rollouts and improve robustness.
• Contribute to technical direction, mentorship, and best practices for robot learning.

Skills

Robot learning

Python/C++

PyTorch

Research to production

Tools

ROS

Job description

World Labs Inc. is seeking a Research Engineer/Scientist in Robot Learning to develop state-of-the-art robot policies, with emphasis on simulation-to-real transfer.

You will work across robotics and machine learning, translating research ideas into production-ready systems. You will collaborate with research scientists, ML engineers and systems teams to design learning architectures, build scalable pipelines, and push the boundaries of autonomous agents in real-world environments.