Perception Analytics ML Engineer — Onsite in SF Construction

Bedrock Robotics Inc; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Onsite SF office

Job summary

Bedrock Robotics Inc in the Bay Area is seeking a Machine Learning Engineer focused on perception analytics to turn lidar and camera data into actionable insights for fleet deployment on heavy machinery.

You will collaborate with world-class engineers, ship perception systems to production, and work with customers to define analytics capabilities on real sites. This role is onsite in the Bay Area, with opportunities to influence safety and efficiency on construction fleets.

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 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

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

3D geometry

Strong data analysis

Education

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

Tools

PyTorch

C++

ROS

Job description

Bedrock Robotics Inc in the Bay Area is seeking a Machine Learning Engineer focused on perception analytics to turn lidar and camera data into actionable insights for fleet deployment on heavy machinery.

You will collaborate with world-class engineers, ship perception systems to production, and work with customers to define analytics capabilities on real sites. This role is onsite in the Bay Area, with opportunities to influence safety and efficiency on construction fleets.