We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of machine learning research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.

At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.

A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor.

You’ll be responsible for:

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

Research Assistant

Responsibilities

Qualification

Required

Benefits

Company

Generalist

More roles at Generalist