World Labs is a spatial intelligence company, building frontier models that can perceive, generate, and interact with the 3D world. Backed by NEA and a16z.
About the role
We’re looking for strong Robot Learning Engineer/Scientist to develop and advance state-of-the-art methods for developing robot policies. This role is focused on training end-to-end policies with an emphasis on sim-to-real transfer, robust performance, scalable training and inference pipelines.
What they're looking for
- PhD in robotics, machine learning, computer science, or a closely related field is strongly preferred
- 6+ years of experience working on manipulation, locomotion, robot policy training, or related areas
- Strong foundation in robotics, neural network designs, sim-real transfer
- Deep experience with robot policy designs (e.g., VLA, WAM, diffusion)
- Proficiency in Python and/or C++, with hands-on experience building research or production robotic systems
- Experience with deep learning frameworks (e.g., PyTorch) and low-level robotic controller
More about this role
World Labs is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li , Justin Johnson and Ben Mildenhall , the company is pioneering world models that perceive, generate, reason, and interact with virtual and physical worlds.
The company’s flagship product, Marble , transforms text, images, and video into fully navigable 3D worlds, unlocking applications across gaming, film, architecture, robotics, and immersive digital experiences. Backed by leading investors and with over $1B raised, World Labs is assembling a world-class team at the intersection of AI research and real-world deployment.
We’re looking for strong Robot Learning Engineer/Scientist to develop and advance state-of-the-art methods for developing robot policies. This role is focused on training end-to-end policies with an emphasis on sim-to-real transfer, robust performance, scalable training and inference pipelines.
This is a hands-on, research-driven role for someone working at the intersection of robotics and machine learning. You’ll collaborate closely with research scientists, ML engineers and system teams to...
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