The Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots
Job Summary
The Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots.
You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
As a senior member of the team, this individual will also be responsible for mentoring junior engineers, elevating the team's overall technical capabilities through their guidance and expertise.
Matching Summary
The Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots.
Skills & Requirements
Must-have
state-of-the-art RL algorithms
physical hardware deployment
Python for rapid prototyping
C++ for deployable code
robot dynamics and controls theory
human demonstration data pipelines
Nice-to-have
cutting edge embodied AI
human-centered robotics company
pushing the boundaries of robot capabilities
passion for seeing complex algorithms work
Key Requirements
5+ years with common RL frameworks
2+ years industry experience strongly preferred
PhD or MS in Computer Science, Robotics, or related field
Proven track record deploying learning-based policies on physical robots