Senior Reinforcement Learning Engineer
ApptronikRobotics company
Sunnyvale, United StatesSenior
Google
B Capital
Mercedes-Benz
Capital Factory
PEAK6
AT&T Ventures
Data & AI
About the role
TL;DR
Senior RL Engineer to push humanoid robot capabilities through advanced learning algorithms.
- •Apptronik is seeking a Senior Reinforcement Learning Engineer to achieve state-of-the-art performance on their humanoid robots.
- •This role focuses on solving critical locomotion and manipulation challenges using advanced learning algorithms.
- •Key Responsibilities Implement and deploy state-of-the-art RL algorithms for dynamic locomotion and manipulation tasks.
- •Drive the development cycle from simulation prototyping to on-robot deployment.
- •Optimize and scale RL training pipelines for faster iteration.
- •Mentor junior engineers and share best practices in RL and software development.
- •Collaborate with robotics and hardware teams to co-develop solutions.
- •Requirements 5+ years of hands-on expertise with RL frameworks (PyTorch, JAX) and physics simulators (MuJoCo, IsaacGym).
- •Mastery of Python for prototyping and strong proficiency in C++ for deployable code.
- •Experience building/utilizing large-scale, distributed training pipelines.
- •Strong theoretical understanding of modern reinforcement learning, including imitation learning and sim-to-real transfer.
- •Intuition for robot dynamics and controls theory.
Required skills
PythonPyTorchJAXC++
Nice-to-have skills
MLflowKubeflowSageMakerVertex AIONNX
Domain expertise
aiaerospace
Tech stack
PythonPyTorchJAXC++