Perception Analytics ML Engineer — Onsite SF Impact

Bedrock Robotics; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Bedrock Robotics is seeking a Machine Learning Engineer focused on perception analytics to build fundamental perception features for customer platforms on autonomous construction machinery. You will work with a team of engineers and construction veterans to translate sensor data into actionable analytics for real-world sites.

The role emphasizes on-site deployment, collaboration with customers, and advancing perception systems across fleets of heavy equipment.

Qualifications

• 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 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

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

Skills

Python

C++

Rust

3D geometry

Sensor calibration

Data analysis

Education

MSc or advanced degree in Computer Science, Robotics, or related field

Tools

PyTorch

Job description

Bedrock Robotics is seeking a Machine Learning Engineer focused on perception analytics to build fundamental perception features for customer platforms on autonomous construction machinery. You will work with a team of engineers and construction veterans to translate sensor data into actionable analytics for real-world sites.

The role emphasizes on-site deployment, collaboration with customers, and advancing perception systems across fleets of heavy equipment.