Data Scientist
Bedrock Robotics
Posted: January 31, 2026
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Quick Summary
Join our team to drive autonomous construction projects and improve safety on job sites.
Required Skills
Job 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 is composed of industry 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 machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $80M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.
We are looking for our first Data Scientist to lead data science efforts across autonomy, safety, and product. As the lead you will help set the foundation for how data science is done at Bedrock, you'll deliver the most critical insights across many domains, and you'll define the future growth of the team.
We're looking for a data scientist who is adept at working with infrastructure and data engineering teams, has experience with complex data similar to autonomy, robotics, or complex ad-tech use cases. We're also looking for someone who has experience in fast growing companies and startups.
If you think this describes you, in whole or in part, we'd love to talk to you about joining us to be our first data scientist.
Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.