Machine Learning Engineer Robotics

Overview

Were looking for a highly motivated engineer with experience deploying machine learning algorithms to physical systems in the real world. The ideal candidate has hands-on experience in perception (e.g., object detection, semantic segmentation, depth estimation) and / or behavior learning methods (e.g., Vision-Language-Action (VLA) models, diffusion policies). More importantly, youve shipped ML models to robots in production environments, and you understand the complexities that come with it.

What youll do

• Develop and optimize real-time ML models for edge deployment on robotic systems
• Work with vendors to label data and build robust data extraction and labeling pipelines
• Design custom metrics to evaluate model performance in the field
• Reduce model latency using tools like ONNX, TensorRT, or similar

What were looking for

Were especially interested in engineers who thrive at the intersection of ML research and 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.

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 simulationit'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 gets built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented teamwe'd love to have you join us.

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