Machine Learning Engineer: Perception Analytics
Bedrock Robotics Inc3 months ago
Responsibilities
- Develop perception algorithms for vehicle re-identification across large construction sites.
- Extend, modify, and adapt existing perception signals for analytics needs.
- Work with customers to define and scope possible applications of advanced perception systems onsite.
- Deploy models and analytics directly to fleets of machines.
Requirements
- MSc or advanced degree in computer science, robotics, or a related field.
- At least four years of professional experience shipping perception systems to production, ideally on robotic or embedded platforms.
- Strong hands-on experience with a modeling framework such as PyTorch.
- Proficiency in Python and ability to read and write at least one systems language such as C++ or Rust.
- Hands-on experience incorporating camera, lidar, and IMU data into learned pipelines.
- Knowledge of 3D geometry, sensor calibration including intrinsics and extrinsics, coordinate transforms, and camera/image re-projection algorithms.
- Strong data analysis skills, including statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design.
- Prior object re-identification experience, customer-facing perception analytics experience, Rust experience, or publications at venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS are ways to stand out.
Benefits
- Bay Area location with the ability to work onsite at the San Francisco office daily or weekly.
- Flexible roles and consideration for candidates outside the listed criteria or in locations with company offices such as San Francisco or New York.
Categories
ML EngineeringRobotics
About Bedrock Robotics Inc
Bedrock Robotics builds autonomous control systems that retrofit heavy construction equipment, enabling driverless operation on large infrastructure and industrial projects. The San Francisco–based, privately held company, founded in 2024, deploys its technology with contractors and project owners to speed schedules and improve job-site safety. Its business centers on upgrading existing fleets and operating them in the field, with software, sensors, and integration services tailored to construction workflows.