Spotify

Staff Machine Learning Engineer - Content Intelligence

New York, NY · Staff+

Sponsorship not specified$227k-$325kDetected 77 days ago

Machine LearningData EngineeringLLMsA/B TestingDesign Systems

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.
We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide.
In this role, you'll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images-enabling automation, improving quality, and unlocking new product experiences.

Develop models for classification, tagging, semantic understanding, and content enrichment
Create high quality content enrichment at scale using LLMs and agentic systems.
Design systems that make content intelligence signals available to downstream teams and products
Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
Support rapid experimentation to prototype and launch new types of content signals

Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform.
This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.

The United States base range for this position is 227,495-324,993 USD, plus equity.

Build and scale machine learning systems that generate deep understanding of content across modalities
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, and paid sick leave.

This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.