Applied Scientist, Robotics & Embodied AI

Generalist; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Generalist in San Francisco is seeking Applied Scientists to advance dexterous task capabilities for embodied foundation models. You will own end-to-end improvement of target capabilities, design evaluation protocols, coordinate data collection, and run large-scale experiments to validate models across real-world tasks.

This empirical, model-science-first role blends research, engineering, and operations, requiring hands-on experimentation with robot setups and clear communication to research

Qualifications

• Strong background in machine learning and robot learning.
• Experience designing and running large-scale experiments.
• Ability to analyze experimental results and communicate findings.

Responsibilities

• Own end-to-end improvement of target capabilities from baseline to mastery.
• Design task suites and evaluation protocols that generalize beyond a single deployment.
• Coordinate data collection, training/fine-tuning of models, and large-scale evaluations.
• Run rigorous experimental analysis across model variants and data recipes; diagnose failures.

Skills

Machine Learning

Robot Learning

Experimentation

Data Analysis

Education

PhD in a relevant area

Job description

Generalist in San Francisco is seeking Applied Scientists to advance dexterous task capabilities for embodied foundation models. You will own end-to-end improvement of target capabilities, design evaluation protocols, coordinate data collection, and run large-scale experiments to validate models across real-world tasks.

This empirical, model-science-first role blends research, engineering, and operations, requiring hands-on experimentation with robot setups and clear communication to research