Applied Scientist ( Reinforcement Learning )
: Job Details :


Applied Scientist ( Reinforcement Learning )

Pace Engineering Recruiters

Location: Santa Rosa,CA, USA

Date: 2025-01-06T04:12:04Z

Job Description:

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.
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