Machine Learning Evaluation Engineer

The Role

Machine Learning Evaluation Engineer: 

Bedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.

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.

What you’ll do:

Design and maintain eval systems:

• 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.

Develop metrics:

• Connect product goals and system behavior - by bridging real-world specification to measurable indicators from logged data. Empower confident decision making from parameter tuning to program planning by slicing through the noise and delivering objective insights.

Classify data sources for training and testing:

• Implement infrastructure and classifiers - to self-annotate data and allow creation of datasets for a variety of training and evaluation use cases. Leverage models to source rich annotations for massive datasets to accelerate model iteration.

Predict system performance:

• Model metrics and interpret results - from various sources ranging from raw sensor data to key leading indicators. Determine whether new construction sites pose hidden challenges and drive business decisions about deployment readiness.

What we’re looking for:

• 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.

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.

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 of NY) please apply anyway! We'd love to consider you. 

Join the team bringing advanced autonomy to the built world

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. 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.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.