Research Scientist: Post-Training
San Francisco Bay Area (San Mateo) or Boston (Somerville)$240k - $350kFull-timePosted 1mo ago
About the role
Research Scientist focusing on post-training for large pretrained robot models, turning them into production-ready systems through fine-tuning, RL, steering, human feedback, and on-robot validation at scale. Combines research with real-world deployment across ML and robotics domains.
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
- Closing the loop between model outputs and physical-world outcomes
Qualifications
- Have experience with fine-tuning large models for downstream tasks (RLHF, IL, RL, distillation, domain adaptation, etc.)
- Have worked on embodied AI, robotics, or real-world ML systems
- Care deeply about evaluation, benchmarking, and failure analysis
- Are comfortable debugging across the ML stack — from loss curves to robot behavior
- Enjoy rapid iteration with real-world feedback loops
- Want to bridge the gap between foundation models and physical deployment
Skills
Required:Fine-tuning large models for downstream tasksEmbodied AI / robotics experience
Last updated Sep 8, 2026. Interested? Apply on the company site.
About Generalist AI
Generalist is a frontier AI research and product driven company building general intelligence for the physical world.
Generalist AI: a frontier AI research and product driven company building general intelligence for the physical world.
AIGEN-1PRODUCTSVLAsembodied AIembodied intelligencegeneral-purposegeneral-purpose AI
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