Senior AI Engineer - Reinforcement Learning
2 days ago
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OnsiteFull-timeSenior
Summary
Apptronik is seeking a Senior AI Engineer - Reinforcement Learning to join their team in Austin, TX. The role focuses on achieving state-of-the-art performance on humanoid robots through advanced reinforcement learning techniques.
About the Role
As a Senior AI Engineer - Reinforcement Learning, you will implement and deploy cutting-edge RL algorithms to enhance locomotion and manipulation tasks on physical robots. You will drive the development cycle from simulation to real-world application, optimize training pipelines, mentor junior engineers, and collaborate with robotics and hardware teams to solve complex challenges.
About You
Required:
- PhD or MS in Computer Science, Robotics, or a related field with 2+ years of industry experience.
- Deep expertise (5+ years) with RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym).
- Mastery of Python and strong proficiency in C++.
Preferred:
- Experience deploying learning-based policies on physical robotic systems, especially legged robots or manipulators.
- Strong publication record in relevant conferences or journals (e.g., CoRL, RSS, ICRA).
Benefits
- Equal employment opportunities and a diverse work environment.
- Opportunities for professional development and mentorship.
Apptronik
Robots have the potential to reshape our existence. Our mission is to leverage robotics to improve universal quality of life. Robots will become one of the most impactful and effective tools humanity has ever created. We believe robots should do the work humans don’t want to do. We pursue ambitious goals to make this a reality. We’re not satisfied making incremental improvements to the status quo but are driven to change the paradigm altogether. Our robots are versatile, capable of solving numerous tasks with a single embodiment. Join us on the next phase of our journey as we get our systems out into the world to do the most meaningful work.
Austin, TX