Senior Reinforcement Learning Engineer (Robotics)

Location: Sunnyvale, California, United States

Annual compensation: $230,000–$260,000 USD

Company

hirify.global develops AI-powered humanoid robots, including Apollo, for applications in manufacturing, logistics, healthcare, and the home.

What you will do

• Implement and deploy state-of-the-art reinforcement learning algorithms for humanoid locomotion and manipulation on physical hardware.
• Develop the full learning cycle from simulation prototyping to policy transfer, fine-tuning, and deployment on robots.
• Optimize high-throughput simulation and distributed reinforcement learning training infrastructure.
• Collaborate with robotics and hardware teams to diagnose system-level issues and enable complex learned behaviors.
• Develop motion retargeting pipelines that convert motion capture and teleoperation demonstrations into reference trajectories.
• Mentor junior engineers through technical guidance, code reviews, and reinforcement learning best practices.

Requirements

• 5+ years of hands-on experience with reinforcement learning frameworks such as PyTorch or JAX and high-fidelity simulators such as MuJoCo or IsaacGym.
• Strong Python skills and proficiency in C++ for performant, deployable code.
• Experience building or using large-scale distributed training pipelines and optimizing their performance.
• Deep understanding of reinforcement learning, including imitation learning, model-based reinforcement learning, and sim-to-real transfer.
• Understanding of robot dynamics and control theory, with experience applying them to learning-based approaches.
• PhD or MS in Computer Science, Robotics, or a related field; experience deploying learning-based policies on physical robotic systems and mentoring engineers.

Nice to have

• Experience with legged robots or robotic manipulators.
• Strong publication record in conferences or journals such as CoRL, RSS, or ICRA.
• 2+ years of industry experience.

Culture & Benefits

• Work on applied AI across the full robotics stack.
• Contribute to bringing a humanoid robot to market at scale.
• Address challenges involving robot safety, commercialization, and mass production.
• Direct-hire position; outside agency solicitations are not accepted.