Machine Learning Engineer - Growth & PersonalisationNew

The opportunity

Join 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…

What you'll do

  • Build and improve ranking models for vertical landing pages (grocery,: retail), deciding what a user sees first when they land on a store page

  • Design models that blend new-vertical content into a homepage built around: restaurant ordering, without disrupting the core experience

  • Build personalisation models that translate a user's existing behaviour into: relevant recommendations for verticals they haven't tried yet

  • Contribute to notification targeting: who gets notified, with what message, and when, to drive adoption of new verticals

  • Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a: proven ability to write high-quality production code in Python

  • Experience with end-to-end model productionisation

What they're looking for

  • A bias to simplicity, where you care most about achieving impact
  • Background in personalisation, ranking, or recommender systems; exposure to: causal inference or uplift modelling is a genuine plus but not expected