Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
We are seeking a Robot Learning Engineer/Scientist to develop and advance state-of-the-art robot policies. This hands-on, research-driven role focuses on training end-to-end policies with an emphasis on sim-to-real transfer, robust performance, and scalable training and inference pipelines.
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, system identification, 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 training and evaluation.
- Optimize policy performance across the stack, including training speed, inference latency, and data generation efficiency.
- Diagnose failure modes in simulation and real-world rollouts to design solutions for robustness, efficiency, and generalization.
- Contribute to technical direction by proposing research ideas, mentoring teammates, and setting best practices.
Requirements
- 6+ years of experience working on manipulation, locomotion, robot policy training, or related areas.
- Strong foundation in robotics, neural network designs, and sim-to-real transfer.
- Deep experience with robot policy designs such as VLA, WAM, or diffusion.
- Proficiency in Python and/or C++ with hands-on experience building research or production robotic systems.
- Experience with deep learning frameworks like PyTorch and low-level robotic controllers.
- Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.
- Strong sense of ownership and engineering rigor regarding correctness, stability, and measurable improvements.
Skills
- Robot Learning
- Imitation Learning
- Reinforcement Learning
- Sim-to-Real Transfer
- Python
- C++
- PyTorch
- Robotic Controllers
- Manipulation
- Locomotion
Location
- San Francisco Bay Area
Work Type
- Full-time
Experience Level
- 6+ years
Salary/Compensations
- $250,000 - $350,000 base salary
Benefits
- Equity awards
About the Company
- World Labs builds foundational world models that perceive, generate, reason, and interact with virtual and physical worlds.
- The company focuses on spatial intelligence to transform seeing into doing and perceiving into reasoning.
- The team consists of experts in AI research, systems engineering, and product design.
Equal Opportunity
- World Labs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law.
- We are committed to providing reasonable accommodations throughout the hiring process upon request.