Machine Learning Engineer: Perception Analytics

The role

You will build features for customer analytics by extending and adapting perception signals. You will work with customers to scope perception system capabilities and deploy models to machine fleets.

What you will 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

Required qualifications

• MSc or advanced degree in Computer Science, Robotics, or a related field
• 4+ years of professional experience shipping perception systems to production
• Strong hands-on experience in a modeling framework (e.g. PyTorch)
• Proficient in Python
• 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

Nice to have

• Prior experience working with customers to understand perception data and analytics
• Experience with the Rust programming language
• Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS

About the company

Bedrock retrofits heavy equipment like excavators with autonomy to help contractors safely take on more projects. The team includes veterans from Waymo, Segment, and Uber Freight.