Machine Learning Engineer - New Verticals

DoorDash is seeking an experienced Machine Learning Engineer to join their New Verticals team, focusing on developing cutting-edge machine learning models that power their growing grocery and retail business. This role offers an exciting opportunity to work on complex ML solutions in recommendation systems, search optimization, and product knowledge graph building.

The position requires either 1+ years of post-PhD experience or 3+ years of post-graduate experience in developing machine learning models with demonstrable business impact. The ideal candidate should have strong expertise in various ML domains including Recommendation Systems, Search, Causal Inference, Time Series Analysis, NLP, Large Language Models, and Computer Vision.

As part of DoorDash's technology team, you'll be working on conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment, and catalog systems. The role involves close collaboration with engineering, product, and business strategy leaders to shape an ML-driven product roadmap for a multi-billion dollar retail delivery business.

DoorDash offers a comprehensive benefits package including competitive salary ranges from $137,100 to $299,300 USD (depending on level and location), equity grants, 401(k) matching, extensive healthcare benefits, paid parental leave, and various other perks. The company maintains a strong commitment to diversity and inclusion, actively working to create an inclusive environment for all employees.

The role is hybrid, offering flexibility with some time in-office and some time remote, and is available in major tech hubs including San Francisco, Sunnyvale, Los Angeles, Seattle, and New York. This position presents an excellent opportunity for those passionate about applying ML to solve real-world logistics and retail challenges while working with a leading technology company in the delivery space.