Senior Data Engineer, ML Infrastructure
Serve RoboticsLos Angeles, California, United States • Montreal, Quebec, Canada • Ottawa, Ontario, Canada • Toronto, Ontario, Canada
Posted October 10, 2025
Full Time
About the Company
Serve Robotics (NASDAQ:SERV) is an AI-powered delivery solutions provider specializing in low-emission sidewalk robots. The company, spun off from Uber in 2021, has completed tens of thousands of deliveries for partners like Uber Eats and 7-Eleven, with scalable contracts including agreements to deploy up to 2,000 robots on the Uber Eats platform across multiple U.S. markets.
Job Description
Serve Robotics is reimagining how things move by building sidewalk robots for delivery services. They are seeking a talented Senior Data Engineer to contribute to building a petabyte-scale data platform supporting data partnerships and ML capabilities. This role involves building scalable data pipelines, enhancing data discoverability, and establishing data access controls. The company values a collaborative and respectful team and a focus on end-to-end user experience.
Requirements
- Architect and implement robust, scalable data pipelines to process, synchronize, and package robotics data.
- Build a data processing and egress platform, ensuring timely and accurate delivery of datasets.
- Create data lifecycle policies to control cloud data costs.
- Create data discoverability platform features using ml models.
- Setup data access audit trails and strong security controls.
- Hands on experience setting up IaC
Benefits
- Competitive salary
- Opportunity to work on a cutting-edge product
