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Senior Machine Learning Engineer

Personalisation @ Deliveroo

San Francisco, CAOn-siteFull-time$180k – $280k / year

About this role

Senior Machine Learning Engineer - Personalisation @ Deliveroo - Back to Deliveroo’s Job Listings Senior Machine Learning Engineer - Personalisation Location London - The River Building HQ Employment Type Full time Location Type On-site Department All Cost CentersDeliverooTechnologyTechnologyMachine Learning Senior Machine Learning Engineer 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 Senior Machine Learning Engineer to join our London office as part of a Global DoorDash engineering team (working hybrid, 3 days in the office). You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast-growing New Verticals business, encompassing grocery, convenience, and retail delivery. What You’ll Do You’ll be joining the New Verticals Personalisation team (Search & Recommendations). This team sits at the heart of how customers discover and shop across grocery, convenience, and retail categories, and is a key driver of the growth of Deliveroo's expanding New Verticals business. Working across the wider DoorDash engineering team, you’ll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting-edge machine learning challenges, including modern recommendation and ranking systems, real-time decisioning as well as GenAI-powered experiences. Here’s what your day-to-day might look like: Design and build production-grade machine learning and optimisation systems that power Deliveroo's New Verticals search and recommendations at scale. Partner with engineering and product lea

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