Research Engineer, Reinforcement Learning

AI Research Engineer, Reinforcement Learning | AI & Robotics Location: Palo Alto, CA (on-site)

About 1X We build humanoid robots that work alongside people to solve labor shortages and create abundance.

The Role As a Research Engineer focused on Reinforcement Learning, you will be responsible for teaching NEO new capabilities through RL algorithms. You’ll work across both simulation and real‑world environments to build robust behaviors and deploy them into homes. This role will be instrumental in making our robots safer, more capable, and increasingly versatile.

You Will

Own the full stack of engineering tasks, from data engineering and model architecture to product deployment

Train NEO on a variety of manipulation and locomotion tasks

Collaborate with hardware teams to bridge the sim‑to‑real gap for policies trained in simulation

Partner with controls, QA, and data collection teams to ship RL policies to production

Deploy reinforcement learning‑trained skills into real‑world home environments

Must Have

Strong programming experience in Python and/or C++ with familiarity using build tools such as Bazel

Proficiency with PyTorch

Hands‑on experience with simulation platforms like Isaac Sim or MuJoCo

Experience training reinforcement learning policies, especially for manipulation or locomotion

Ability to collaborate cross‑functionally with hardware, control, data, and QA teams

Demonstrated experience addressing the sim‑to‑real gap

Benefits & Compensation

Salary Range: $180,000 – $250,000 + Equity

Health, dental, and vision insurance

401(k) with company match

Paid time off and holidays

Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.

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