Role overview
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).
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 work on
- 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 leaders to help shape the product roadmap leveraging ML.
- Guide technical decision-making across multiple product areas, identifying and prioritising opportunities for high-impact algorithmic improvements.
What we're looking for
- Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment.
- Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus.
- Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
- Ability to think holistically about business problems, moving beyond technical implementation to influence long-term strategy and roadmap.
- Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical leaders across the global organisation.
Tags & focus areas
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