Machine Learning Engineer – Perception Analytics

Bedrock Robotics

Machine Learning Engineer developing perception algorithms for vehicles on construction sites. Collaborating with engineers to solve real-world problems in autonomous systems.

Posted 7/21/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying perception algorithms for vehicle re-identification, with strong proficiency in Python and experience in modeling frameworks like PyTorch. Capable of integrating raw sensor data and performing advanced data analysis for enhanced perception systems.

Highest-signal resume keywords

Perception Algorithm DevelopmentPython ProgrammingModeling Frameworks (PyTorch)Sensor Data Integration3D Geometry and Calibration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Perception SystemsPythonC++RustSensor Data Incorporation3D GeometrySensor CalibrationData AnalysisStatistical CharacterizationAnomaly Discovery

Soft Skills

Customer CollaborationProblem Solving

Certifications & Qualifications

MSc or Advanced Degree in Computer ScienceRobotics

Industry Keywords

Object Re-IDCameraLidarIMUCoordinate TransformsCamera/Image Re-ProjectionPublished Work in ICRAICCVCVPRECCV

Tech Stack

Tools & technologies

PythonPyTorchRust

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
One or more of the following:
- Prior experience with object re-ID tasks
- 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.

Benefits

Comp & perks

Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis
*Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.