New York, United States (Remote) · Full-time · HR, legal & admin
Staff Machine Learning Engineer, Home Surfaces
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USCIS approved new H-1B petitions (new hires and transfers from other employers) for this employer in the last two published fiscal years. Ask the employer before you apply.
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Remote locations: United States
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- Remote · New York, NY
- Salary not disclosed
- Employment type: Full-time ·
- Level: Lead
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H-1B sponsor: 69 approvals in FY2025–FY2026USCIS approved 69 new H-1B petitions (new hires and transfers from other employers) for this employer in FY2025–FY2026; the latest fiscal year may be partial. It doesn't guarantee this job offers sponsorship — confirm with the employer. A $100,000 payment on new H-1B petitions for workers outside the US (2025 proclamation, extended to September 2027) is blocked by federal courts as of October 2026; check the current rules with the employer.
Source: H-1B Employer Data Hub, U.S. Citizenship and Immigration Services (USCIS).
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Employer: America/New_York 09:00–17:00 · estimated from United States (country spans several time zones), you can change it
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Description (EN)
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.
The Surfaces Podcasts team owns podcast recommendations across some of Spotify’s most visible surfaces, including Home and the Now Playing view. We build and improve the recommendation systems that help listeners discover their next favorite show or episode while helping creators reach the right audiences.
As a Staff Machine Learning Engineer, you’ll help shape the future of personalized discovery and engagement at Spotify. You’ll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences for listeners at global scale. You’ll take models from research to production, help set technical direction in ambiguous problem spaces, and solve complex personalization challenges across Spotify.
The United States base range for this position is $227,495- $324,993 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.
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.
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