About the job
Join us in revolutionizing the last-mile retail delivery experience! We are seeking a seasoned Machine Learning Engineer to help us craft innovative growth and personalization models that will enhance DoorDash's expanding retail and grocery services.
About the Role
We are on the lookout for a dedicated Applied Machine Learning specialist to become a pivotal member of our team. As a Senior Machine Learning Engineer, you will be responsible for conceptualizing, designing, implementing, and validating algorithmic enhancements that drive growth and personalized experiences within our rapidly growing grocery and retail delivery business. Leveraging our sophisticated data and machine learning infrastructure, your work will ensure that consumer search experiences across grocery, convenience, and diverse retail categories are not only relevant but also seamless and enjoyable. You will showcase a robust understanding of production-level machine learning, adeptly addressing end-user challenges, and fostering collaboration across multidisciplinary teams.
This position reports to the Engineering Manager of our Personalization team. We anticipate this role will be hybrid, combining in-office and remote work (#LI-Hybrid).
Your Impact
- Design and implement production machine learning solutions that deliver a world-class personalized shopping experience across a varied retail landscape.
- Collaborate closely with engineering and product leaders to influence the product roadmap through the application of machine learning.
- Guide and mentor junior team members while leading cross-functional pods to create impactful outcomes.
Discover more about our machine learning initiatives on our ML blog.

