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Deliveroo

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Senior Machine Learning Engineer - Recommendations

Salary not disclosedHybrid

  • Engineering
  • London
  • Full time
  • Yesterday
Newly posted

About the role

The Senior Machine Learning Engineer will join the Consumer Org to design, develop, and improve recommendation, ranking, and retrieval models. This role involves owning applied ML problems end-to-end, from problem framing and data analysis to model development and production monitoring. You will collaborate with cross-functional teams to turn scientific insights into reliable, customer-facing products that enhance content discovery.

Responsibilities

  • Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers.
  • Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance.
  • Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent.
  • Collaborate closely 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 ML methods where they meaningfully improve recommendation quality, robustness or efficiency.
  • Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation.

Required skills

  • Machine Learning
  • Recommendation systems
  • Ranking
  • Retrieval
  • Personalisation
  • Python
  • ML frameworks
  • Large-scale data processing

Qualifications

  • Substantial hands-on experience applying machine learning to real-world problems
  • PhD with relevant applied research experience

Benefits

  • Competitive salary
  • Equity options

About the Company

Deliveroo is part of DoorDash, operating a global, three-sided marketplace that serves millions of customers, riders, and partners. The company focuses on transforming how people shop and eat through innovation, impact, and growth.