Spotify
Machine Learning Engineer
New York, New York, USA · full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$17,589 more — $165,589 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,589 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- 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.
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
- Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
Requirements
- Experience with PyTorch, Ray, Hugging Face and related tools is required.
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like Google Cloud Platform or AWS.
- 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
- $148k-$212k
Benefits
- You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
- The United States base range for this position is $148,000 $212,000 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.
Company info
- 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.
Equal opportunity
- equal opportunity employer.
This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.