Senior Software Engineer, Machine Learning - Consumer ML

5+ years of industry experience

developing machine learning models with business impact, and shipping ML solutions to production.

M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field

Expertise in applied ML for

Causal Inference and Recommendation Systems

-  both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences 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 the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning,  experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).

Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space

Partner with engineering and product leaders to help shape the product roadmap applying ML

Mentor junior team members, and lead cross functional pods to create collective impact

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