Research Resident

The role

A Research Assistant will design, run, and analyze experiments at the intersection of machine learning and robotics. The role involves collecting data, evaluating models in the real world, and documenting workflows to improve foundation models for robots.

What you will do

• Running structured experiments on robot platforms
• Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations
• Collecting high-quality robot data and tracking experimental conditions
• Measuring real-world success rates across tasks, robots, and model variants
• Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias
• Analyzing results to help distinguish real model improvements from noise
• Synthesizing findings and communicating them clearly to ML researchers and engineers
• Preparing robots, sensors, workspaces, and materials for rollouts and evaluations
• Helping kick off training jobs, run evaluations, and organize results
• Beta testing internal and third-party tools for teaching robots new skills

Required qualifications

• Less than 3 years of machine learning research experience
• Experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations
• Exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling

About the company

Generalist is on a mission to build general intelligence for the physical world. They build embodied foundation models with a focus on dexterity.