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Machine Learning Engineer: Perception Analytics

Bedrock Robotics· Engineering
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Hybrid (San Francisco, CA)Full-timePosted 3mo ago

About the role

Perception analytics-focused ML engineer role at Bedrock Robotics, building features for customer analytics and real-world perception systems on autonomous heavy equipment.

Responsibilities

  • 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

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

Skills

Required:Perception signal engineeringPythonC++ / RustSensor data processing (camera, lidar, IMU)3D geometry & calibrationData analysis & evaluation design
Last updated Sep 10, 2026. Interested? Apply on the company site.
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About Bedrock Robotics

Advanced Autonomy for the Built World

Advanced Autonomy for the Built World

AutonomyBedrock Operatorautonomyheavy machineryindustrial automationindustrial roboticsmachine intelligenceon-site autonomy
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