Research Scientist, RL for Dexterous Manipulation, Atlas

Required Qualifications

• PhD, in ML, Robotics, or a related field or a MS with 3+ years of experience
• Track record of first-author publications at top venues (CoRL, RSS, ICLR, NeuRIPS)
• Demonstrated experience training policies for dexterous or contact-rich manipulation
• Hands-on experience with VLA models, diffusion policies, or large behavior models
• Proficient in PyTorch and/or JAX, with experience training models at scale
• Strong software fundamentals and the ability to ship research code that runs reliably

The Ideal Candidate

• Has deployed vision-based manipulation policies on physical robots
• Has built training pipelines that combine RL, imitation learning, and large-scale pretraining
• Has experience fine-tuning foundation models with RLHF, DPO, GRPO, or related methods
• Familiarity with tactile sensing, multi-fingered hands, or bimanual coordination

Pay

The pay range for this position is between $175,000 to $220,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience.

Benefits

This position offers a generous Benefits package including medical, dental, vision, 401(k), paid time off, and an annual bonus structure. Details regarding these benefits will be provided if an employee receives an offer for employment.