Senior Machine Learning Engineer - Policy & Safety
Spotify · Closed
Senior Machine Learning Engineer - Policy & Safety at Spotify is no longer on the employer board. Jobrow marked it closed after a crawl that no longer listed this posting.
- Pay
- —
- Workplace
- Hybrid
- Location
- New York, NY · United States of America (Home Mix)
- First seen
- 2 months ago
- Last seen
- 10 days ago
- Board
- Lever
About this role
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration.
- Function: Machine learning
- Seniority: senior
Location & pay
Hybrid · New York, NY · United States of America (Home Mix) No pay range was listed on the public board feed.
Source
Jobrow reads the public Lever board for Spotify. First seen 2 months ago; last seen 10 days ago; closed 9 days ago. We are not the employer — apply only on the company ATS.
Posting
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. 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. If it touches a consumer, we shape it. 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. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. 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. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.