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Research Engineer / Scientist (Robot Learning)
World Labs
San Francisco, USA
Full-time
Senior · 6+ years experience
Onsite
USD 250000-350000 yearly / year
Discovered 1 weeks ago
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Role Overview
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 translate robotic policy and its stack into production-ready systems.
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About World Labs
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.
Role Overview
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 translate robotic policy and its stack into production-ready systems.
What You Will Do
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