Generalist
Applied Scientist
San Francisco Bay Area (San Mateo) · On-site · Full-time · Posted Oct 28, 2026
- Education
- PhD in a relevant area is given as an example of a strong background; no specific education requirement is stated.
About the job
Develop and improve embodied foundation-model capabilities for dexterous robotic tasks through post-training, evaluation design, data work, and rigorous experimentation.
What you'll do
- Own end-to-end improvement of target capabilities, from baseline performance to mastery.
- Design task suites and evaluation protocols that measure partner and customer needs and generalize across deployments.
- Coordinate data collection, model training and fine-tuning, large-scale evaluations, and experimental analysis.
What they ask for
- Strong background in machine learning and/or robot learning.
- Ability to analyze rollout data, compute metrics, visualize results, and investigate model performance.
- Care for evaluation, benchmarking, and failure analysis.
- Clear communication with research and partner-facing teams.
Nice to have
- PhD in a relevant area.
- Hands-on experience with robots and physical task setups.
AI focus
Post-training and evaluation of embodied foundation models for dexterous robotic tasks, including model fine-tuning, data recipes, and capability improvement.
Model-written summary · the original posting is authoritative