Senior Data Scientist, Machine Learning

Serve Robotics is revolutionizing urban delivery through innovative sidewalk robots. As a Senior Data Scientist in Machine Learning, you'll be crucial in developing dependable sidewalk autonomy software. The role bridges ML infrastructure and engineering, requiring expertise in machine learning fundamentals and data pipeline development.

The company, comprised of tech industry veterans, focuses on solving real-world problems using robotics, ML, and computer vision. Their fleet already operates successfully in Los Angeles, delivering goods while delighting merchants and customers alike. The team culture emphasizes collaborative problem-solving and respect.

This position offers an exciting opportunity to work on cutting-edge technology that's actively shaping the future of urban delivery. You'll be responsible for prototyping ML models, designing auto-labeling systems, and building scalable data pipelines. The role requires expertise in Python, SQL, and various ML frameworks, with experience handling large-scale datasets.

The ideal candidate will have 5+ years of experience and a master's degree in a relevant field. You'll work with cross-functional teams, handling everything from data ETL processes to ML model training. The position offers competitive compensation ($160K-$200K) plus equity, with the flexibility of remote work.

Join Serve Robotics to help transform robotic deliveries from a novelty to an efficient, ubiquitous service. You'll be part of a diverse, agile team working on technology that has real-world impact, while helping to build the future of urban logistics.