Machine Learning Engineer: Perception Analytics

Machine Learning Engineer: Perception Analytics

About Bedrock

Bedrock is 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, the 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.

About the Role

This perception engineer role involves building features for customer analytics platforms. The work focuses on developing fundamental perception features to drive customer-facing platforms, addressing real-world challenges such as:

• Measuring dig productivity from lidar/camera data
• Modifying existing perception systems to provide useful metrics for job sites
• Measuring safety across entire sites given perception system limitations
• Re-identifying the same objects across dozens of camera views on sites several city blocks wide, through dust and changing light

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

Requirements

Education & Experience:

• 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)
• Strong hands-on experience in a modeling framework (e.g. PyTorch)

Technical Skills:

• Proficient in Python
• 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

Ways to Stand Out

• 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

Location

Based in the Bay Area with the ability to be onsite at the SF office on a daily/weekly basis. Roles are often flexible—if you don't fit all the criteria or are in another location (especially one where Bedrock has an office like SF or NY), applicants are encouraged to apply anyway.