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Full-time
postgraduate degree
Posted 16d ago
~40 hrs/week
Responsibilities
Develop and deploy perception algorithms for vehicle re-identification and analytics on heavy construction machinery. Collaborate with customers to define perception metrics and integrate raw sensor data into production pipelines.
Requirements
Requires an advanced degree in Computer Science or Robotics and 4+ years of professional experience shipping perception systems. Proficiency in Python and a systems language like C++ or Rust is essential, along with strong 3D geometry and sensor calibration skills.
Full job description
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.
Machine Learning Engineer: Perception Analytics
We are looking for a perception engineer to build features for our customers' analytics. This isn’t 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?
What You’ll Do:
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 We're Looking For:
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
Ways to Stand Out:
One or more of the following:
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
Other special aspects of the role:
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 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.
Bedrock Robotics brings advanced autonomy to the built world, helping the construction industry build at the pace today's society demands. Our technology upgrades existing heavy equipment, enabling truly autonomous operation with expert level quality and superhuman safety. At a time when we need to build faster than ever—from housing to data centers to factories and energy infrastructure—autonomous construction isn't just an innovation, it's an economic necessity.
Offices: 703 Market St, Ste 1300, San Francisco, California 94103, US
Based on 4724 listings with disclosed salaries, most construction jobs in California pay between $80k–$181k per year. Individual offers vary with seniority, company size, and specialization.
How many Construction jobs are open in California right now?
There are currently 10,522 open construction positions in California listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Construction roles in California?
Companies currently hiring include Lowe's Companies, Inc., AECOM, Mesa Energy Systems Inc, BKF Engineers, Greystar, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Construction jobs in California?
Yes — 1701 of the 10522 open construction positions offer remote or hybrid work (284 remote, 1417 hybrid).
How do I apply for Construction jobs in California?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.