Machine Learning Engineering Manager - Personalization

What You'll Do

• Design, build, and improve machine learning systems that power safety across personalization surfaces such as recommendations, search, and emerging AI experiences

• Contribute to the platformization of safety systems, enabling scalable and reusable solutions across teams

• Develop and operate high-throughput, low-latency backend services powered by ML models

• Partner with Product, Trust & Safety, and Content Platform to translate safety needs into practical technical solutions

• Work on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models

• Contribute to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches

• Collaborate with foundational model teams to embed safety into LLM-based and agent-driven experiences

• Use metrics and experimentation to continuously improve system performance, safety outcomes, and user experience

Who You Are

• You are experienced in building and deploying machine learning systems in production environments

• You have hands-on experience with both traditional ML approaches and newer generative AI techniques

• You have worked with scalable backend systems that require reliability, low latency, and high availability

• You understand how to apply ML solutions to real-world product challenges, ideally in consumer-facing products

• You have experience with model evaluation approaches such as labeling workflows, red-teaming, or ground truth data generation

• You are comfortable working across disciplines, collaborating with product managers, researchers, and policy partners

• You care deeply about building safe, responsible, and inclusive user experiences

• You bring a thoughtful, metrics-driven approach to problem solving and decision-making

Where You'll Be

• This role is based in New York or Boston

• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

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.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.