Machine Learning Engineering Manager, Personalization
About this role
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
- Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
- Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
- Guide the design, development, deployment, and operation of production machine learning systems at scale.
- Support engineers through technical mentorship, career development, performance management, and regular feedback.
- Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
- Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
- Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
- Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
- You have experience leading and developing high-performing engineering teams.
- You have built trust through coaching, mentoring, and supporting engineers in their career growth.
- You have deep expertise building and operating production machine learning systems at scale.
- You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
- You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
- You communicate effectively across engineering, product, and data science partners.
- You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
- You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
The United States base range for this position is $184,049- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Company at a glance
Deliver creativity to the world -- one note, one voice, one idea at a time.
At Spotify, we focus relentlessly on building the best and most valuable experience available anywhere, enhancing every moment by connecting the world to the art and the creatives who shape it.
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
Top Benefits
- Health insurance
- Six month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Know someone who'd be great for this?