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 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).
Задачи:
- 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
Требования:
- 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
- A bias to simplicity, where you care most about achieving impact
- Background in personalisation, ranking, or recommender systems
- Будет плюсом: exposure to causal inference or uplift modelling is a genuine plus but not expected
Условия:
- Solve meaningful problems at real scale
- Work on a complex, always-on marketplace that impacts millions every day.
- Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
- Take on big, ambiguous problems and accelerate your career with strong support.
- High standards, collaboration, flexible working and continuous learning.
- Competitive salary and equity options, so you're rewarded for the impact you make.
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