Spotify
Machine Learning Engineering Manager, Personalization
New York, NY
Sponsorship not specified$184k-$263kDetected 1 day ago
Machine LearningData ScienceLLMsMLOpsA/B TestingPerformance ManagementLeadershipCollaborationMentoring
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odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- 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.
Responsibilities
- 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.
- Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
- You communicate effectively across engineering, product, and data science partners.
Requirements
- You have built trust through coaching, mentoring, and supporting engineers in their career growth.
- For this role, you can be within the Eastern Standard time zone.
- 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.
Compensation
- $184k-$263k
Benefits
- 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.
- Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
- 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.
- 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.
- You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
Company info
- You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission.
- Where You'll Be We offer you the flexibility to work where you work best!
- At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
- 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.
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This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.