Research Scientist, RL for Dexterous Manipulation, Atlas

Are you passionate about using reinforcement learning to solve dexterous manipulation tasks? As an RL Research Scientist, you'll lead research projects on visual sim-to-real transfer and post-training of Vision-Language-Action (VLA) models. Your job is to turn unlabeled data from simulation or the real-world into robust real-world manipulation skills. You should push the frontier of what bimanual and multi-fingered systems can do in unstructured environments.

In this role, you will:

• Develop novel algorithms for visual sim-to-real transfer with photorealistic rendering

• Design post-training recipes that improve pretrained VLA models on manipulation tasks

• Research reward modeling, and offline-to-online RL for large multimodal policies

• Close the sim-2-real gap through tactile sensing, vision, and system identification...