Reinforcement Learning Engineer (Robotics)

Location: San Carlos, California, United States; on-site

Salary: $200,000–$300,000 per year plus equity

Company

hirify.global builds humanoid robots for home environments, combining robotics, artificial intelligence, and manufacturing to deliver safe, reliable real-world capabilities.

What you will do

• Train and deploy reinforcement learning policies for manipulation and locomotion tasks on NEO humanoid robots.
• Develop sim-to-real transfer techniques that improve the reliability of policies on physical hardware.
• Build training and evaluation infrastructure with standardized benchmarks, automated regression detection, and links between training metrics and field performance.
• Collaborate with hardware, controls, data collection, and QA teams to move RL research into production customer sites.
• Monitor field task success rates, analyze failures, and iteratively improve deployed robot skills.

Requirements

• Strong foundation in reinforcement learning algorithms such as PPO, SAC, TD-MPC, or similar.
• Hands-on experience training RL policies for manipulation or locomotion and addressing sim-to-real transfer on physical hardware.
• Strong Python and/or C++ skills with experience in large codebases and build tools such as Bazel or equivalent.
• Proficiency with PyTorch for RL policy training and experimentation.
• Experience with simulation platforms such as Isaac Sim, MuJoCo, or equivalent.
• Ability to own data engineering, model architecture, deployment, and cross-functional delivery of robot skills.

Nice to have

• Experience with model-based RL or world-model-guided policy learning.
• Familiarity with imitation learning or learning from demonstration, including behavior cloning, GAIL, or IQL.
• Experience deploying RL policies to physical robots in production, including monitoring and failure analysis.
• Background in legged locomotion, dexterous manipulation, or contact-rich control.

Culture & Benefits

• Comprehensive medical, dental, and vision coverage.
• Paid time off, company holidays, and parental leave.
• 401(k) plan with company match, plus FSA and HSA options.
• Commuter benefits, disability and life insurance, and an Employee Assistance Program.
• On-site snacks and catered lunches.