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# Machine Learning Engineer: Perception Analytics

- **Company:** Bedrock Robotics
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, C++ (Programming Language), Python (Programming Language), Machine Learning, Pytorch, Juniper, Information Technology, Machine Learning Operations
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-perception-analytics-san-francisco-ca--fa894d22-fdd9-4170-ab64-574a0acace4c

## About the Role

Machine Learning, Algorithms, Funding, Retrofit, Cargo/Freight, Construction, Heavy Equipment/Vehicles, Juniper Networks M-Series, Artificial Intelligence (AI), Excavator, * 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

Ways to Stand Out:

One or more of the following:

 * 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

Other special aspects of the role:

 * Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis

## Description

* 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