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 integral to 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, machine learning, and computer vision. Their fleet currently operates successfully in Los Angeles, delivering goods while delighting merchants and customers alike.

This position offers a competitive salary range of $160K-$200K with equity, and the flexibility of remote work. The ideal candidate will have 5+ years of experience and a Master's degree, bringing strong expertise in Python, SQL, and modern ML frameworks.

Key responsibilities include prototyping ML models, designing auto-labeling systems, and building scalable data pipelines. You'll work with petabyte-scale datasets and collaborate across teams to integrate data and ML workflows effectively.

The role presents an exciting opportunity to shape the future of autonomous delivery systems while working with cutting-edge technologies. You'll be part of a diverse, agile team that values collaborative problem-solving and respectful communication.

Standout candidates will bring experience with MLOps tools, transformer-based models, and advanced SQL optimization. This position offers the chance to make a significant impact in the robotics and AI space while working on technology that's actively reshaping urban delivery systems.