Reinforcement Learning Engineer
ApptronikRobotics company
Austin, United StatesSenior
Google
B Capital
Mercedes-Benz
Capital Factory
PEAK6
AT&T Ventures
Data & AI
About the role
TL;DR
Develop AI-powered robots by architecting neural networks and implementing RL algorithms.
- •Apptronik is seeking a Reinforcement Learning Engineer to develop AI-powered robots.
- •You will architect neural networks and implement RL algorithms for human-centered robotics.
- •Key Responsibilities Implement and deploy state-of-the-art RL algorithms for locomotion and manipulation tasks.
- •Drive the development cycle from simulation to hardware deployment.
- •Optimize and scale RL training pipelines for faster iteration.
- •Develop and refine motion retargeting pipelines.
- •Collaborate with robotics and hardware teams to diagnose system-level issues.
- •Requirements 3+ years of hands-on expertise with RL frameworks (PyTorch, JAX) and high-fidelity physics simulators (MuJoCo, IsaacGym).
- •Mastery of Python and strong proficiency in C++.
- •Experience building or utilizing large-scale, distributed training pipelines.
- •Strong theoretical understanding of modern reinforcement learning.
- •Intuition for robot dynamics and controls theory.
Required skills
PythonPyTorchJAXC++
Domain expertise
aerospaceautomotivelogisticsdeeptechai
Tech stack
PythonPyTorchJAXC++