Senior Machine Learning Engineer - Enrichment & Content Intelligence

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 understanding, music video matching, SongDNA
• Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
• Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
• Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
• Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
• Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
• Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
• Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

Who You Are

• You have solid experience building, deploying, and maintaining machine learning systems in production at scale
• You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
• You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
• You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
• You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
• You are experienced working with large-scale distributed data processing systems and ML infrastructure
• You communicate effectively across engineering, product, and data science stakeholders
• You are comfortable leading technical initiatives and influencing engineering direction within a team
• You have experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks
• You have experience with Scala
• You have experience with computer vision, video understanding, multimodal embeddings, or recommendation systems