What are the responsibilities and job description for the Applied Scientist ( Reinforcement Learning ) position at Pace Engineering Recruiters?
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.
Salary : $250,000 - $325,000
