Summary
What you’ll impact
An organization is seeking a Machine Learning Engineer focused on Perception Analytics to develop and adapt perception features for customer analytics on autonomous construction equipment. The role involves extending perception signals, collaborating with customers to define analytics capabilities, and deploying models to fleets of machines. The position is based in the Bay Area with on‑site work at the San Francisco office.
Responsibilities
What you'll do
- 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
Requirements
What you’ll bring
- 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