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 at the forefront of developing dependable and proficient sidewalk autonomy software. The role combines machine learning expertise with robust data engineering capabilities, focusing on prototyping and training learning-based models using data-centric techniques.

The company, comprised of tech industry veterans in software, hardware, and design, is currently operating successfully in Los Angeles, delighting merchants and customers alike. Their mission is to transform robotic deliveries from a novelty to an efficient, ubiquitous service.

This position offers an exciting opportunity to work with cutting-edge technologies in robotics and AI, handling petabyte-scale datasets and implementing sophisticated machine learning solutions. You'll be responsible for designing auto-labeling systems, building scalable data pipelines, and working with multi-modal data including images, point clouds, and time-series data.

The ideal candidate will bring strong fundamentals in machine learning, expertise in Python and SQL, and experience with modern ML frameworks and cloud platforms. You'll be joining an agile, diverse team that values collaborative problem-solving and respectful communication.

This remote position offers competitive compensation ($160K-$200K) with equity, making it an excellent opportunity for experienced professionals looking to make a significant impact in the robotics and autonomous delivery space. The role requires 5+ years of relevant experience and offers the chance to work with state-of-the-art technology while solving real-world problems in urban mobility.