Machine Learning Engineer Robotics ML Generalist

The Role

Bedrock is bringing autonomy to the construction industry! Were 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.

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:

• Practical experience applying machine learning with deep learning frameworks such as PyTorch to solve real-world problems
• Proficiency in Python and comfort with at least one systems language (e.g. C Rust)
• Experience deploying ML models to robotic systems or other physical platforms
• Experience incorporating raw sensor data like camera lidar radar IMUs etc into deep learning algorithms.
• Bonus: Practical application of incorporating 3D geometry into deep learning models
• Bonus: Published work in conferences such as ICRA IROS CoRL CVPR ECCV ICCV ICML NeurIPS

***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 dont fit all the criteria or are in another location (especially one where we have an office like SF of NY) please apply anyway! Wed love to consider you.

Join the team bringing advanced autonomy to the built world

At Bedrock weve 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 Segments $3.2B acquisition and grew Uber Freight to $5B in revenue.

While others debate the future of AI were 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 isnt a simulationits autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year weve raised $80M put our equipment into the field and established partnerships with forward-thinking contractors who are integrating our technology into their operations. Were working quickly to close the gap between Americas surging demand for housing data centers manufacturing hubs and the construction industrys growing labor shortage.

Here algorithms meet steel-toed boots. Youll collaborate with both construction veterans and experienced engineers tackling problems where your work directly impacts how the physical world get built. If youre interested in applying cutting-edge technology to solve meaningful problems alongside a talented teamwed love to have you join us.