Spotify
Music Streaming
SeniorMachineLearningEngineer-Enrichment&ContentIntelligence
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optimal for Senior candidates.
“Senior Machine Learning Engineer - Enrichment & Content Intelligence at Spotify. Skills: Machine Learning, Entity Resolution, Production Systems, Multimodal Learning. Own and evolve large-scale ML pipelines. Lead development of multimodal embedding frameworks”
What You'll Achieve.
Improve precision, recall, and overall content-quality outcomes; Enhance production ML capabilities, observability, and model lifecycle management
Industry & Context.
Improve entity-resolution systems; Design and run experiments to improve precision, recall, and overall content-quality outcomes
What They're Looking For.
Must Have
Solid experience building, deploying, and maintaining machine learning systems in production at scale, Experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow, Experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains, Understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities, Know how to design evaluation systems that balance model quality, operational performance, and real-world impact, Experienced working with large-scale distributed data processing systems and ML infrastructure, Communicate effectively across engineering, product, and data science stakeholders, Comfortable leading technical initiatives and influencing engineering direction within a team
Nice to Have
Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks, Experience with Scala, Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems
What You'll Do.
Own and evolve large-scale ML pipelines
Lead development of multimodal embedding frameworks
Improve entity-resolution systems
Design and run experiments
Build scalable ML evaluation and monitoring infrastructure
Contribute to Music Knowledge Graph evolution
Partner closely with Product Managers
Help shape technical strategy
How You'll Work.
Team & Collaboration
Communicate effectively across engineering, product, and data science stakeholders; Partner closely with Product Managers, Data Scientists, and engineering teams; Contribute to a culture of technical collaboration
Communication Scope
Communicate effectively across engineering, product, and data science stakeholders
Full Job Description
## Description The Experience team designs 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 Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify’s catalog. Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify. We’re looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine learning, entity resolution, and production-scale engineering, with opportunities to work across audio, video, and metadata understanding problems at massive scale. ## What You'll Do Own and evolve large-scale ML pipelines powering Spotify’s content-resolution systems Lead development of multimodal embedding frameworks supporting multimodal understa
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