Embodied RL Engineer for Robotic Autonomy (In-Office)

Figure; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading AI robotics company in San Jose, CA is seeking a Helix AI Engineer specializing in reinforcement learning. The role focuses on developing learning systems that enable humanoid robots to acquire skills through interaction and feedback. Candidates should have experience in RL algorithms, proficiency in Python, and strong software engineering skills. This position requires 5 days a week in-office collaboration and offers the opportunity to work at the forefront of AI technology.

Qualifications

• Experience developing and applying RL algorithms in complex environments.
• Strong understanding of RL fundamentals (policy optimization, value methods).
• Experience training policies in real-world systems.

Responsibilities

• Design and implement reinforcement learning algorithms for embodied agents.
• Train policies that learn from interaction and large-scale experience.
• Develop reward modeling and exploration strategies for long-horizon behaviors.

Skills

Reinforcement Learning algorithms

Python

Deep Learning frameworks (e.g., PyTorch)

Software engineering skills

Job description

A leading AI robotics company in San Jose, CA is seeking a Helix AI Engineer specializing in reinforcement learning. The role focuses on developing learning systems that enable humanoid robots to acquire skills through interaction and feedback. Candidates should have experience in RL algorithms, proficiency in Python, and strong software engineering skills. This position requires 5 days a week in-office collaboration and offers the opportunity to work at the forefront of AI technology.