Evaluation Engineer Intern - Metric Prototyping

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

Every time Bedrock works with a new machine for tasks like grading pads, digging trenches, or loading trucks, we need a way to verify the machine is actually performing well. The Evaluation team defines what "good" looks like: building the metrics, benchmarks, and evaluation pipelines that tell us whether our autonomy stack is improving or just changing. As our Evaluation intern, you'll prototype new metrics for future machine tasks, the ones we haven't shipped yet, so that when the autonomy team is ready to train, there's already a clear scoreboard.

What You'll Do

• Partner closely with data understanding and ML engineers to rapidly iterate on new metric formulations and task benchmarks

• Mine fleet datasets for key reference examples and edge cases, then test proposed metrics against live runs and historical logs

• Get your boots on the ground at our test sites to observe machine performance firsthand and build intuitive, real-world grounding for how your metrics perform