Staff Machine Learning Engineer, Content Intelligence

Benefits

• Health insurance
• Six-month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave
• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs

Where you will be

This role is based in New York, NY onsite. You will have the flexibility to work where you work best, with some in person meetings, while still allowing for remote work options.

About the role

As a Staff Machine Learning Engineer in Content Intelligence at Spotify, you will design and scale multimodal ML systems that power content understanding across audio, video, text, and images. You will collaborate with product, policy, and engineering teams to deliver safe, high quality content experiences at global scale.

Responsibilities

• Build and scale machine learning systems that generate deep understanding of content across modalities
• 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
• Improve automation for content quality, safety, and metadata enrichment at scale
• Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
• Contribute to evaluation frameworks, data pipelines, and annotation systems
• Support rapid experimentation to prototype and launch new types of content signals
• Help improve system reliability, scalability, and performance across large datasets

Requirements

• You have experience building and deploying machine learning systems in production
• You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
• You have experience working with large datasets and care about data quality and evaluation
• You are interested in or have worked with multimodal machine learning
• You understand how to design systems that balance automation with quality and user experience
• You are comfortable working on complex problems with evolving requirements
• You think in systems and understand how models connect to product outcomes
• You communicate clearly and work well across technical and non technical teams

Technologies

• PyTorch
• TensorFlow