Spotify
Senior Machine Learning Engineer - Policy & Safety
New York, NY · Senior
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
$9,411 more — $193,461 — moves this role to Level IV and 4 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 $193,461 would place this position at wage Level IV. 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
- That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day.
- They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one.
- There will be some in person meetings, but still allows for flexibility to work from home.
Responsibilities
- You care about building safe, responsible, and user-centric ML systems
- We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
- The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators.
- This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines.
Requirements
- You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
- You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- You have experience leading technical projects and influencing direction within a team or product area
- You have experience with distributed systems or backend technologies (e.g., Scala)
Compensation
- The United States base range for this position is $184,050 - $262,928 USD, plus equity.
Benefits
- You have solid experience building and deploying machine learning systems in production environments at scale
- You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs.
- 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, paid flexible holidays, and paid sick leave.
Company info
- Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world.
- We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration.
This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.