Machine Learning Engineer II

About The Company

Deliveroo, now part of the DoorDash family, is a leading technology-driven food delivery platform operating globally. With a mission to transform the way people shop and eat, Deliveroo leverages innovative solutions to connect millions of customers with their favorite restaurants, groceries, and retail stores. Our integrated ecosystem aims to provide seamless, fast, and reliable delivery services, fostering growth and convenience for users around the world. As part of the larger DoorDash organization, we benefit from a combined scale and ambition, collaborating across teams and regions to unlock new opportunities and deliver exceptional experiences.

About The Role

We are seeking a skilled Machine Learning Engineer to join our London office as part of our global engineering team. This hybrid role involves working three days a week in the office and focuses on developing advanced personalization and ranking models to enhance our new verticals such as groceries and retail. The successful candidate will contribute to building systems that increase user engagement by delivering tailored content and recommendations, thereby expanding our active user base beyond restaurant ordering. You will work closely with cross-functional teams across Deliveroo, DoorDash, and Wolt, tackling complex technical challenges in a fast-paced environment. Your work will directly influence how users discover and interact with new verticals, making a meaningful impact on our growth and customer satisfaction.

Qualifications

• Minimum of 3+ years of experience as an ML Engineer or Data Scientist
• Proficiency in writing high-quality production code in Python
• Experience with end-to-end model deployment and productionisation
• Strong understanding of personalization, ranking, or recommender systems
• Ability to translate complex data insights into actionable models
• Excellent problem-solving skills and attention to detail
• Effective communication skills to collaborate across teams
• Experience with causal inference or uplift modelling is a plus but not mandatory
  
  

Responsibilities

• Develop and refine ranking models for vertical landing pages such as grocery and retail, optimizing the order in which content appears to users
• Design models that seamlessly integrate new vertical content into the homepage experience without disrupting core functionalities
• Create personalization models that leverage user behavior to generate relevant recommendations for verticals users have not yet explored
• Contribute to the development of notification targeting strategies, determining who receives notifications, the messaging, and timing to maximize engagement
• Collaborate with cross-functional teams to align model development with product goals and user experience standards
• Implement scalable solutions that can handle large volumes of data and real-time processing requirements
• Continuously monitor, evaluate, and improve model performance to ensure optimal impact
  
  

Benefits

• Opportunity to solve meaningful problems at a global scale impacting millions of users
• Fast-paced environment with rapid testing, deployment, and iteration of ideas
• Ownership of projects with the chance to take on complex, ambiguous challenges
• Supportive culture focused on collaboration, innovation, and continuous learning
• Competitive salary and equity options to reward your contributions
• Flexible working arrangements to promote work-life balance
• Access to professional development resources and career growth opportunities
  
  

Equal Opportunity

Deliveroo is committed to creating an inclusive environment where everyone can thrive. We value diversity and believe that a workplace reflecting the world around us fosters innovation and creativity. We are an equal opportunity employer and welcome applications from candidates of all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you require support or reasonable adjustments during the recruitment process due to a disability or health condition, please let us know. We are dedicated to ensuring a fair and equitable experience for all applicants.