We are building a humanoid robot that's designed for real-world deployment in industries such as manufacturing, warehousing and logistics, addressing critical labor shortages and helping businesses optimize operations. Backed by partnerships with top-tier organizations and cutting-edge research in the areas of automotive and logistics along with a solid seed round, we're poised to redefine what's possible for general purpose robots.
About the role:
We're seeking a Research Scientist to build out robot learning capabilities to help our robots interact with the world around it. You'll be solving unique manipulation and trajectory problems leveraging multi-modal data, driving advancements in DRL, Imitation Learning, and task-and-motion planning for our humanoid system.
Responsibilities:
- Develop and deploy RL policies to solve various manipulation and grasping problems
- Contribute a significant impact on our research projects and product roadmap
- Help define the long-term technical vision and navigate a comprehensive RL strategy focused on solving real world challenges
- Integrate and distill RL policies and data into foundation model training
- Provide mentorship and guidance to junior scientists and engineers within the team, fostering their growth and development
Requirements:
- MS / PhD or equivalent industry experience in robotics, computer science, or related fields
- Experience with simulators (Mujoco, IssacSim, etc.) and training RL policies
- Proven experience in applying RL techniques for robot learning
- Publications in CoRL, NeurIPS, AAAI, ICML,ICLR, ACL, NAACL and/or work experience in a robotics company
Compensation:
- Competitive salary ranging from $250,000 to $325,000 annually, depending on experience
- Equity compensation on top of salary described.
- Comprehensive benefits package.