Machine Learning Engineer Perception Analytics

At Bedrock were moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo scaled Segment to a $3.2B acquisition and grew Uber Freight to $5B in revenue. Today were deploying autonomous systems on heavy construction equipment across the country improving safety on job sites and accelerating schedules on critical infrastructure projects.

Were not here debating the future of AI. Were deploying it in the real just two years weve raised $350M and achieved the first fully autonomous excavator deployments in construction.

This is where algorithms meet steel-toed boots. Youll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations cant touch. If youre ready to do meaningful work on hard problems wed love to have you join us.

We are looking for a perception engineer to build features for our customers analytics. This isnt just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data Can we modify existing perception systems to provide useful metrics for job sites How do you measure safety over an entire site given perception systems How do you re-identify the same objects across dozens of camera views on a site several city blocks wide through dust and changing light

• Extend modify and adapt existing perception signals for analytics needs

• Work with customers to define and scope what is possible with advanced perception systems on-site

• Deploy models and analytics directly to fleets of machines

• MSc or advanced degree in Computer Science Robotics or a related field

• 4 years of professional experience shipping perception systems to production (ideally on robotic or other embedded platforms) with strong hands-on experience in a modeling framework (e.g. PyTorch)

• Proficient in Python and comfortable reading and writing at least one systems language (e.g. C Rust)

• Hands-on experience incorporating raw sensor data (camera lidar IMU) into learned pipelines

• Solid grounding in 3D geometry sensor calibration (intrinsics/extrinsics) coordinate transforms and camera/image re-projection algorithms

• Strong data analysis skills across statistical characterization of sensor data corner-case and anomaly discovery and evaluation design

One or more of the following:

• Prior experience working with customers to understand perception data and analytics

• Experience with the Rust programming language

• Published work in top-tier venues such as ICRA IROS CVPR ECCV ICCV CoRL or RSS

• Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis

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 or NY) please apply anyway! Wed love to consider you.

Required Experience:

IC