Bedrock Robotics
Machine Learning Engineer – Robotics
Bedrock Robotics, San Francisco, California, United States
Machine Learning 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 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, you’ve shipped ML models to robots in production environments, and you understand the complexities that come with it.
What you’ll 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 we’re 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
We’re 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.
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—you’re working with autonomous intelligence 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 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 team, we’d love to have you join us.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Construction, Software Development, and IT Services and IT Consulting
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We’re 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, you’ve shipped ML models to robots in production environments, and you understand the complexities that come with it.
What you’ll 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 we’re 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
We’re 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.
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—you’re working with autonomous intelligence 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 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 team, we’d love to have you join us.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Construction, Software Development, and IT Services and IT Consulting
#J-18808-Ljbffr