Internship Behavior ML Engineer, Learned Manipulation Policies

Position: 2027 Internship Behavior ML Engineer, Learned Manipulation Policies
# 2027 Internship Behavior ML Engineer, Learned Manipulation Policies Bedrock Robotics San Francisco, CAInternshipAI tools:

PyTorch diffusion models flow matchingVAEsVision Language Action (VLA) models

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You’ll train learned behavior policies that teach autonomous excavators to perform tasks such as swinging, digging, and dumping. The internship combines experiments with real demonstrations and simulated rollouts, evaluation of policy performance, and contributions to the team’s training codebase.
* Internship* On-site
* Entry Level
* BS, MS, or PhD (in progress)### Skills and expertise

Python Py Torch diffusion  models flow matching imitation learning behavior cloning model evaluation robot manipulation### Key responsibilities
* Train and iterate on behavior policies using fleet demonstrations and simulated rollouts.
* Evaluate models for task success, smoothness, safety margins, and operator-likeness.
* Investigate policy failure modes and share reproducible findings with autonomy teams.## How this job compares

Compared with 45 open intern machine learning jobs on October 10, 2026.Similar open jobs:
We Love AI Jobs lists 45 open intern machine learning jobs at 26 companies.

Remote work:
This job is on site. 2 of the 45 intern machine learning jobs (4%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Training diffusion and related behavior models is the core of the role. The intern will also build evaluation pipelines and investigate model failure modes.## Full description

Join the team bringing advanced autonomy to the built world

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.

About the Role & Team Teaching a 40-ton excavator to move like an expert operator is a very different problem from teaching a car to stay in its lane. The motions are multimodal, there are many good ways to swing, dig, and dump and the consequences of getting them wrong are measured in cubic yards and bent steel. Bedrock's Behavior ML team builds the learned policies that decide what our machines actually do, and diffusion policies are a central bet: models that can represent the full distribution of expert behavior instead of averaging it into mush.

As our Behavior ML intern, you'll help train those policies and build the evaluation that tells us whether they're genuinely better working alongside two hosts who sit on both the training and evaluation sides of the problem.

What You'll Do
• 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
•…