Machine Learning Engineer

• Build pipelines for measuring system performance - across open loop and closed loop simulation, hardware in the loop systems, and field data from Bedrock Operator equipped machinery. Excite other teams to gain insights earlier in the development cycle through streamlined workflows.

We’re looking for a highly motivated engineer with experience evaluating complex ML systems deployed in the real world. Your Mission: Translate the infinite nuance of the built world into actionable, AI-native evaluations that accelerate Bedrock Operator adoption.

The ideal candidate has hands-on experience in building evaluation systems and designing and executing statistical tests to gauge performance deltas between system iterations. More importantly, you’ve iterated on complex ML systems run in production environments, and you understand the complexities that come with it., * Engineers who are currently Senior or Staff level with 5+ years of professional software engineering, data science, or research experience

• 2+ years of professional experience analyzing modern ML or robotics system performance on real-world problems
• Proficiency in Python and a data warehouse query language and comfort with development on infrastructure within parallelized cloud-based frameworks
• Strong statistical analysis skills (e.g. classification, model fit bias determination, hypothesis testing, and uncertainty quantification)
• Experience working with large datasets

***Bonus points: We’re especially interested in engineers who have applied statistical backgrounds to ML research or real-world robotics applications.

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 $350M 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.