Machine Learning Engineering Manager II
About The Position
The Personalization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audiobooks, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. Our work spans across experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists. As an ML Engineering Manager, you will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences. In collaboration with a cross-functional and cross-team leadership group, you will help shape the future of Spotfiy’s agentic reasoning and orchestration tech stack. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.
Requirements
- You have experience leading delivery of consumer-facing ML products at scale
- You are energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products
- You are excited but not overhyped by the potential of Generative AI and agent technologies
- You are comfortable providing detailed technical direction and resolving complex engineering challenges
- You thrive when developing great people and phenomenal, meaningful products
- You have experience in cultivating a strong engineering culture in an agile environment
- You have experience in people management, with the humility to realize where you’re still growing
Responsibilities
- Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
- Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
