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About the Role

Bedrock's Behavior ML team builds learned policies for autonomous systems, with a focus on diffusion policies. As a Behavior ML intern, you will train these policies, build evaluation metrics, and work alongside experienced hosts to improve machine performance.

Responsibilities

Train and iterate on diffusion flow matching, and related behavior policies using real fleet demonstration data and simulated rollouts
Run architecture, conditioning, and hyperparameter explorations, and turn the results into clear findings the team can build on
Build and improve evaluation pipelines that score behavior models on task success, smoothness, safety margins, and operator-likeness
Investigate failure modes - distribution shift, mode collapse, out-of-distribution scenes and propose fixes
Work with the simulation and eval teams to make sure offline metrics actually predict on-machine performance
Contribute to the shared training codebase with clean, reviewed, reproducible work
Share results regularly with the behavior, controls, and autonomy teams

Requirements

Currently pursuing a BS, MS, or PhD in computer science, robotics, machine learning, or a related field or bringing equivalent research or industry experience
Strong Python and hands-on experience training models in PyTorch (or equivalent)
Working understanding of generative modeling diffusion models, flow matching, VAEs, or similar and of imitation learning or behavior cloning
Experience running and interpreting real training experiments: you know how to tell a real improvement from noise
Clear communication, you can explain what you tried, what happened, and what you'd do next

Skills

Python
PyTorch
Generative modeling
Diffusion models
Flow matching
VAEs
Imitation learning
Behavior cloning
Vision Language Action (VLA) models
Reinforcement Learning (RL)
Robotics
Autonomous vehicles
Physical-world control problems
Large-scale training infrastructure
Experiment tracking

Location

On-site

Work Type

Internship

Experience Level

Intern

Education Level

About the Company

At Bedrock, we're moving AI out of the lab and into the real world.
Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue.
Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world.
In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots.
You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
If you're ready to do meaningful work on hard problems, we'd love to have you join us.

Equal Opportunity

Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.