Research Engineer / Scientist (Robot Learning)
World LabsSpatial Intelligence company
San Francisco, United States$250,000 - $350,000Senior
Andreessen Horowitz
NEA
Radical Ventures
NVIDIA
AMD Ventures
Autodesk
Data & AI
About the role
TL;DR
Develop and advance state-of-the-art robot learning methods for policy development.
- •World Labs is building foundational world models that can perceive, generate, reason, and interact with the virtual and physical worlds, unlocking AI's full potential through spatial intelligence.
- •We are seeking a strong Robot Learning Engineer/Scientist to develop and advance state-of-the-art methods for developing robot policies, focusing on sim-to-real transfer, robust performance, and scalable training pipelines.
- •Key Responsibilities Design and implement modern robot learning systems, including imitation learning and reinforcement learning for manipulation.
- •Research, prototype, and productionize robotic policies with a focus on speed, precision, and scalability.
- •Develop and improve training pipelines for sim-to-real transfer, including domain randomization and real-sim alignment.
- •Collaborate with simulation and infrastructure teams to minimize the sim-to-real gap and ensure integration with real-robot deployment stacks.
- •Build end-to-end training and evaluation workflows for robot policies, from large-scale data generation to scaled training and evaluation.
- •Requirements 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 (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 controllers.
Required skills
PythonC++PyTorchComputer Vision
Domain expertise
deeptechai
Benefits & perks
equity awards
Tech stack
PythonC++PyTorchGitLinux