Software Engineer, ML Infrastructure

Serve Robotics is at the forefront of revolutionizing urban delivery systems through innovative robotics technology. As a Software Engineer in ML Infrastructure, you'll be integral to developing and maintaining the machine learning platform that powers their autonomous delivery robots. The role combines cutting-edge ML technologies with practical urban logistics solutions.

The position offers an exciting opportunity to work with a team of industry veterans in software, hardware, and design, all united in building the future of autonomous delivery. You'll be working with modern technologies including Apache Beam, Bazel, BigQuery, MongoDB, and Kubernetes, handling terabytes of sensor data to improve autonomous navigation and delivery systems.

The ideal candidate will bring strong experience in ML infrastructure and data engineering, with the ability to build and maintain complex ML pipelines. You'll be responsible for everything from ETL pipelines and data mining to MLOps and annotation platforms. The role requires both technical depth in ML systems and the ability to collaborate effectively with ML engineers and other teams.

Working at Serve Robotics means joining a diverse, agile team that values collaborative problem-solving and respectful communication. The company offers competitive compensation including equity, and the opportunity to work remotely while contributing to a technology that's actively changing how deliveries work in major cities. Their robots are already making successful commercial deliveries in Los Angeles, and they're poised for expansion.

This is an ideal role for someone who wants to combine their ML infrastructure expertise with real-world robotics applications, working on problems that directly impact the future of urban logistics and automation. The position offers the perfect blend of technical challenge and practical impact, with the freedom to innovate and improve systems that are actively deployed in the real world.