Spotify's Personalization team aims to simplify and enhance the music and podcast listening experience for millions of users by developing innovative AI-driven recommendations and personalized sessions, such as AI DJ and AI Playlist. The ML Engineering Manager will lead a new squad to expand these AI experiences in music, building upon existing successes and pioneering new recommendation capabilities.
Requirements
- Experienced leading delivery of consumer-facing ML products at scale
- Skilled with current generative AI and agent technologies
- Actively using AI-assisted coding and product development tools to prototype new products
- Expert in modern ML theory, practices, and their practical implementation
- Comfortable providing detailed technical direction and resolving complex engineering challenges
Responsibilities
- Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized music experiences
- Translate technical strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
- Bring external experience in generative AI and agent frameworks to enhance Spotify's personalized music sessions
- Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
- Champion AI-assisted coding practices, continually expanding the team's technical capabilities
- Foster strong research partnerships to scale innovative solutions from experimentation to production
- Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture
Other
- Energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products
- Collaborative and influential, thriving in strategic discussions with senior engineers and managers
- Focused on user outcomes, rigorously grounding decisions in user data and insights
- Experienced in nurturing technical talent, committed to growing engineers' skills in technology and leadership
- The squad is based in New York City.
