Research Engineer / Scientist (Robot Learning)

World Labs
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 350,000 annuallyFunction: Research & Scientific (R&D)Experience: 6+ yearsSkills: ["Ownership","Engineering rigor","Collaboration","Experimentation","Project execution"]

Develop state-of-the-art robot policies focused on end-to-end training and sim-to-real transfer. Design and implement robot learning systems spanning imitation learning and reinforcement learning, then prototype, productionize, and scale training and inference pipelines. Build training/evaluation workflows from large-scale data generation, improve robustness through sim-to-real alignment techniques, and diagnose failure modes across simulation and real-world rollouts.

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FursaFursa
World Labs
World Labs
1 month ago

Research Engineer / Scientist (Robot Learning)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop state-of-the-art robot policies focused on end-to-end training and sim-to-real transfer. Design and implement robot learning systems spanning imitation learning and reinforcement learning, then prototype, productionize, and scale training and inference pipelines. Build training/evaluation workflows from large-scale data generation, improve robustness through sim-to-real alignment techniques, and diagnose failure modes across simulation and real-world rollouts.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and implement robot learning systems, including imitation learning and reinforcement learning for manipulation.
  • •Research, prototype, and productionize robot policies with a focus on speed, precision, and scalability.
  • •Develop training pipelines for sim-to-real transfer, including domain randomization, system identification, and real-sim alignment.
  • •Build end-to-end training and evaluation workflows for robot policies, from large-scale data generation through scaled training and evaluation.
  • •Diagnose simulation and real-world rollout failure modes and propose solutions to improve robustness, efficiency, and generalization.

Pay and Benefits

Salary: USD 250,000 - 350,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •6+ years of experience in manipulation, locomotion, robot policy training, or related areas.
  • •Strong foundation in robotics, neural network design, and sim-real transfer.
  • •Deep experience with robot policy designs (e.g., VLA, WAM, diffusion).
  • •Proficiency in Python and/or C++ with hands-on research or production robotic systems experience.
  • •Experience with deep learning frameworks (e.g., PyTorch) and low-level robotic controllers.
Experience:6+ yearsRoboticsMachine learning
Skills:OwnershipEngineering rigorCollaborationExperimentationProject execution
Tech Stack:PythonC++PyTorchNeural networksRobotics controllersVLAWAMDiffusion

Company Brief

World Labs
World Labs develops artificial intelligence and machine learning solutions, providing platforms and tools to help organizations build, deploy, and scale AI-driven applications across industries, with a focus on model development, MLOps, and customizable AI services.
Industry: AI & Machine Learning
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