Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. 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). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing 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, k
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Role overview
Job description
We design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text). This is a player-coach role with a strong strategic remit: you'll shape where the group goes next, grow our audio understanding expertise over the long term, and help the team scale through thoughtful, practical use of AI in everyday engineering work.
What You'll Do
Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain.
Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans.
Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most.
Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains.
Partner with product, design, research and other engineering leaders across Spotify to align priorities and share context.
Who You Are
You have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters.
You bring experience across NLP, audio / music content understanding and recommender systems.
You have a track record of managing engineering teams while delivering complex, cross-functional initiatives.
You enjoy coaching senior and Staff engineers, and you help experienced people grow their impact.
You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it.
You think strategically, communicate clearly, and can balance long-term bets with near-term delivery.
Where You'll Be
This role is based in London or Stockholm.
We offer the flexibility to work where you work best! There will be some in person meeetings, but still allows for flexibility to work from home.
What they are looking for
Skills & requirements
Department · Engineering
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Hiring company
Spotify
Technology
Spotify is a digital music service that gives you access to millions of songs, podcasts, and audiobooks. Listen to your favorites online now.
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