Job Details

Research Scientist, Post-Training | Robotics & AI | SF Bay Area / Boston

A frontier AI robotics company building general-purpose robots is hiring a Post-Training Research Scientist to turn large pretrained robot models into reliable real-world systems. The team includes alumni from OpenAI, Boston Dynamics, and Google DeepMind, working on embodied foundation models and robotic dexterity.

Role

Focus on post-training: fine-tuning and adapting large models for real robotic tasks, improving robustness and controllability, and building evaluation frameworks tied to real-world performance. Work on inference efficiency and close the loop between model outputs and robot behaviour using RL, imitation learning, distillation, synthetic data, and curriculum learning.

Looking for

Experience fine-tuning large models (RLHF, RL, IL, distillation, domain adaptation), ideally with exposure to embodied AI or real-world ML systems, plus strong evaluation and debugging skills.

📍 On-site: SF Bay Area or Boston

💰 Up to $350k + equity