Machine Learning Engineer, Computer Vision

Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.

As a Computer Vision expert, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency.

Key Responsibilities: • Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification. • Collaborate with cross-functional leaders across engineering, product, and business strategy to shape a product roadmap driven by machine learning. • Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. • Drive impact and enjoy opportunities for deep technical development and leadership. • Innovate and experiment with cutting-edge technologies and methodologies in AI and ML.

Requirements: • Industry experience developing machine learning models with business impact, and shipping ML solutions to production. • Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems. • Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. • Must be located near one of our engineering hubs: San Francisco, Sunnyvale, Los Angeles, Seattle, or New York. • M.S. or Ph.D. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plus. • Familiarity with causal inference and experimentation techniques.

DoorDash offers competitive compensation, including base salary, equity grants, and comprehensive benefits. The company is committed to diversity, inclusion, and employee well-being.