> Markdown version of [/jobs/ext/1893608-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1893608-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **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, Rust (Programming Language), Scripting, Computer Network Operations, Pytorch, Information Technology, Data Analytics, Machine Learning Operations, Lidar - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-perception-analytics-san-francisco-ca--d0cecd31-2ef8-410e-b939-e55af950d457 ## About the Role * 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 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 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, Algorithms, Analysis Skills, Artificial Intelligence (AI), C++ Programming Language, Calibration, Cargo/Freight, Computer Science, Construction, Construction Equipment, Customer Relations, Data Analysis, Data Science, Embedded Systems, Funding, Geometry, Heavy Equipment/Vehicles, Hubs, Leading Edge Technology, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Machine Learning, Manufacturing, Metrics, Network Operations Center, Problem Solving Skills, Production Systems, Project Schedule, Python Programming/Scripting Language, Robotics, Rust Programming Language, Safety/Work Safety, Statistics, Vehicle Fleets ## Description We are looking for a perception engineer to build features for our customers' analytics. This isn't just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data? Can we modify existing perception systems to provide useful metrics for job sites? How do you measure safety over an entire site given perception systems? How do you re-identify the same objects across dozens of camera views on a site several city blocks wide, through dust and changing light? What You'll Do: * 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 ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)