Machine learning engineer recommendations

Deliveroo is part of Door Dash and operates a global, three-sided marketplace serving customers, riders, and partners. Its Global Engineering teams build and scale systems for millions of people, while its Consumer organization helps customers discover relevant content.

• Design, develop, and improve recommendation, ranking, and retrieval models that surface relevant restaurants, dishes, items, and content to customers
• Own applied machine learning problems end to end, from problem framing and data analysis to model development, offline evaluation, experimentation, and production monitoring
• Develop methods that balance relevance with product and customer needs, including diversity, availability, business constraints, and changing user intent
• Collaborate with Software Engineers, ML Engineers, Product Managers, and Analysts to turn scientific insights into reliable customer-facing products
• Evaluate and apply state-of-the‑art machine learning methods when they meaningfully improve recommendation quality, robustness, or efficiency
• Contribute to applied‑science practices through technical reviews, knowledge sharing, and thoughtful experimentation

• Substantial hands‑on experience applying machine learning to real‑world problems and bringing models from development into production; relevant applied research experience with a PhD is also welcome
• Experience with recommendation systems, ranking, retrieval, personalisation, or closely related machine learning problems
• Ability to independently turn an ambiguous customer or product problem into a well‑scoped machine learning approach, make sound trade‑offs, and drive it to a measurable outcome
• Proficiency in Python and experience with modern machine learning frameworks and large‑scale data processing
• Understanding of rigorous machine learning evaluation, including offline metrics, experiment design, and interpreting online results
• Ability to communicate complex technical ideas clearly and work effectively with cross‑functional partners

• Competitive salary and equity options
• Flexible working