Research Engineer, Reinforcement Learning

Target start date: Immediately. Relocation provided.

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. At 1X, you’ll own critical projects, tackle unsolved research problems, deliver great products to customers, and be rewarded based on merit and achievement.

We are looking for a Research Engineer in Simulation and Reinforcement Learning (RL). In this role, you will design simulation environments for NEO and teach NEO to learn new capabilities via RL algorithms. This enables our robots to be safe and robust in a variety of conditions.

Responsibilities

• Full-stack engineering, from data engineering to model architecture design to shipping polished products

• Train NEO to do a diverse set of manipulation and locomotion tasks.

• Close the sim2real gap between policies trained in simulation and real.

• Work with controls, QA, and data collection teams to ship RL policies to the production fleet.

• Deploy skills trained with RL into home environments