Software Infrastructure Engineer, ML Ops

Serve Robotics is revolutionizing urban delivery through innovative sidewalk robots. As a Software Infrastructure Engineer in ML Ops, you'll join a team of industry veterans working on cutting-edge robotics and machine learning solutions. The role focuses on building and improving the company's ML platform, which is crucial for training models and processing terabytes of daily sensor data.

The position involves working with modern technologies including Apache Beam (Dataflow), Bazel, BigQuery, MongoDB, GCS, Kubernetes, and Airflow. You'll be responsible for developing ML infrastructure, managing MLOps systems, and ensuring efficient data processing pipelines.

The ideal candidate combines strong technical skills in ML systems with practical experience in cloud applications and data processing. You'll work in a collaborative environment with ML engineers and robotics professionals, contributing to the future of autonomous delivery systems.

This is an excellent opportunity for experienced engineers passionate about ML infrastructure who want to make a real impact in the robotics industry. The role offers competitive compensation ($130K-$170K) with equity, and the flexibility of remote work. You'll be part of a diverse, agile team solving real-world problems through robotics, machine learning, and computer vision.

Join Serve Robotics to help transform robotic deliveries from a novelty to an efficient, ubiquitous service. Your work will directly contribute to making deliveries more accessible while reducing street congestion and supporting local businesses.