Senior Machine Learning Engineering Manager

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
• 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 the job involves

• 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
• 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

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs