- Boston, Massachusetts, United States
Post‑training research scientist focused on fine‑tuning, reinforcement learning, and evaluation of embodied AI and robotics models.
Responsibilities
- Designing fine‑tuning and adaptation strategies for downstream robotic tasks and embodiments
- Developing methods for improving reliability, robustness, and controllability
- Building evaluation frameworks that measure real‑world robot performance, not just offline metrics
- Improving inference‑time performance (latency, stability, memory footprint) in collaboration with ML infrastructure
- Leveraging techniques such as imitation learning, RL, distillation, synthetic data, and curriculum learning