Spotify
Senior Machine Learning Engineer, Enrichment & Content Intelligence
Found: Today
This role is based in New York City with some flexibility to work from home.
Compensation:
$184,049–262,928/year, plus equity
Responsibilities:
- Own and evolve large-scale ML pipelines powering Spotify’s content-resolution systems
- Lead development of multimodal embedding frameworks
- Improve entity-resolution systems across music and video content
- Design and run experiments to enhance content quality
- Build scalable ML evaluation and monitoring infrastructure
- Contribute to the evolution of the Music Knowledge Graph
- Mentor engineers and contribute to a strong culture of collaboration
Requirements:
- Experience building and maintaining machine learning systems in production
- Proficiency in ML frameworks like PyTorch or TensorFlow
- Experience with multimodal machine learning systems
- Understanding of entity resolution and large-scale matching problems
- Effective communication across engineering, product, and data science teams