Staff ML Engineer, Content Intelligence — Hybrid

Spotify; Stockholms kommun; Hybrid; SEK 758,478 - 1,300,249; Full time

Job summary

Spotify is looking for a Staff Machine Learning Engineer in Stockholm to build scalable ML systems for understanding music, podcasts, and more. The ideal candidate has experience in deploying ML systems and working with large datasets. Responsibilities include developing models for content enrichment and collaborating with various teams to improve automation and quality. This role offers flexibility with remote work options and occasional in-person meetings.

Qualifications

• Experience building and deploying machine learning systems in production.
• Comfortable working with ML frameworks like PyTorch or TensorFlow.
• Experience with large datasets and focus on data quality.
• Interest in multimodal machine learning.
• Ability to design systems balancing automation and quality.
• Comfortable tackling complex problems with evolving requirements.
• Understanding of how models impact product outcomes.
• Clear communication across technical and non-technical teams.

Responsibilities

• Build and scale ML systems for content understanding.
• Develop models for classification and content enrichment.
• Create content enrichment using LLMs and agentic systems.
• Design systems for content intelligence signals.
• Improve content quality automation and metadata enrichment.
• Collaborate with teams to translate content intelligence.
• Contribute to evaluation frameworks and data pipelines.
• Support rapid experimentation for new content signals.
• Enhance system reliability and performance on large datasets.

Skills

Machine learning systems

PyTorch

TensorFlow

Large datasets

Data quality

Multimodal machine learning

System design

Clear communication

Job description

Spotify is looking for a Staff Machine Learning Engineer in Stockholm to build scalable ML systems for understanding music, podcasts, and more. The ideal candidate has experience in deploying ML systems and working with large datasets. Responsibilities include developing models for content enrichment and collaborating with various teams to improve automation and quality. This role offers flexibility with remote work options and occasional in-person meetings.