Machine Learning Engineer: Perception Analytics

Bedrock Robotics Inc • San Francisco, CA

2d • Hybrid

About The Position

Join the team bringing advanced autonomy to the built world. At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, 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. This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

Requirements

• 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

Nice To Haves

• Prior experience with object re-ID tasks
• 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

Responsibilities

• Develop perception algorithms for re-id of vehicles on massive construction sites
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior