Machine Learning Engineer - Growth & PersonalisationJoin us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do.
Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).
Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between.
That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones.
You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back.
This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt.
What You'll Be DoingBuild and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land on a store pageDesign models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experienceBuild personalisation models that translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yetContribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticalsWhat You'll Need to ThriveMinimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in PythonExperience with end-to-end model productionisationA bias to simplicity, where you care most.