Spotify

Streams music, podcasts and audiobooks

Senior Machine Learning Engineering Manager - Content Platform

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listed

About the Job

Requirements

Deep machine learning expertise and Staff-level technical judgment, with the ability to contribute hands-on when needed.
Experience across natural language processing, audio and music content understanding, and recommender systems.
A track record of managing engineering teams while delivering complex, cross-functional initiatives.
Ability to coach senior and Staff engineers and help experienced people grow their impact.
A clear, informed point of view on using artificial intelligence to improve how machine learning engineers work, and the ability to inspire a team to adopt it.
Ability to think strategically, communicate clearly, and balance long-term bets with near-term delivery.

Responsibilities

Lead, coach, and grow a group of 10 or more senior and Staff machine learning engineers who work dynamically on business problems while maintaining deep domain expertise.
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 by leading technical strategy, reviewing designs, guiding modeling and retrieval choices, and contributing hands-on where it helps the team most.
Define and champion a practical point of view on how machine learning engineers use artificial intelligence tools in their day-to-day work, and help the team realize productivity gains.
Partner with product, design, research, and other engineering leaders across Spotify to align priorities and share context.

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.

About the Company

Spotify

Streams music, podcasts and audiobooks

Spotify runs an audio streaming service where listeners find music, podcasts, and audiobooks through one account on phones, computers, and connected devices. Its Discover Weekly playlist recommends songs based on listening habits, alongside playlists made by editors and artists. Listeners stream on demand, save favorites, share playlists, and download eligible content for offline listening through paid plans. The business earns subscription fees from Premium members and advertising revenue from its free service, while separate creator tools support publishing, audience measurement, and promotion. Spotify was founded in 2006 and is headquartered in Stockholm, Sweden.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: Stockholms kommun, Sweden
Founded: 2006

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