Bedrock Robotics
Machine Learning Engineer: Perception Analytics
San Francisco, CA
Sponsorship not specifiedDetected 1 day ago
PythonRustC++AlgorithmsMachine LearningPyTorchData AnalysisData ScienceRoboticsSensors
About the role
- Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis
Responsibilities
- Develop perception algorithms for re-id of vehicles on massive construction sites
- Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design
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)
- Prior experience with object re-ID tasks
- Experience with the Rust programming language
Company info
- 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.
- 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?
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This listing is sourced directly from Bedrock Robotics's careers page and normalized into a canonical job model.