Senior Machine Learning Engineering Manager

Spotify; Greater London; Híbrido; GBP 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work flexibility

Descripción de la vacante

Spotify is seeking a Senior/Staff ML engineering leader to guide a group of 10–12 engineers in content understanding (audio, text, video) and recommender systems, blending strategic scope with hands-on contribution.

Based in London or Stockholm, with flexibility to work from home and occasional in-person meetings, you’ll set technical and team strategy, mentor engineers, and deliver high-impact initiatives that enhance the listening experience for billions of users.

Formación

• Deep machine learning expertise at Staff level with hands-on capability
• Experience across NLP, audio content understanding and recommender systems
• Track record managing engineering teams delivering cross-functional initiatives
• Ability to coach senior and Staff engineers and grow impact
• Clear view on using AI to improve ML engineering workflows

Responsabilidades

• Lead, coach and grow a group of 10+ senior and Staff ML engineers
• Set technical and team strategy for multiple content understanding problems
• Own delivery of high-priority initiatives with measurable impact for listeners
• Stay hands-on when it matters and guide modelling and retrieval choices
• Define a practical view on using AI tools to boost team productivity
• Partner with product, design, research and other Spotify leaders to align priorities

Conocimientos

Leadership

Staff-level expertise

NLP

Audio content understanding

Recommender systems

Coaching

Strategic thinking

Cross-functional collaboration

Descripción del empleo

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.