Staff Machine Learning Engineer - Content Intelligence

Spotify; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Deepstreamtech is looking for a Staff Machine Learning Engineer in Greater London to build and scale foundational machine learning systems that enhance content understanding across Spotify. The role involves collaborating with product, policy, and engineering teams to ensure high-quality user experiences and includes tasks such as developing models for classification and content enrichment. Ideal candidates will have experience in deploying ML systems and working with large datasets, with a focus on automation and quality.

Responsibilities

• Build and scale foundational ML systems for content understanding across Spotify.
• Work on systems that generate deep machine-readable understanding of content across modalities.
• Deliver safe, high-quality experiences for millions worldwide.
• Develop models for classification, tagging, and semantic understanding.
• Create high-quality content enrichment at scale.
• Design systems for content intelligence signals to be available to teams.
• Improve automation for content quality and metadata enrichment.
• Collaborate across teams to translate content intelligence into user impact.

Skills

Building and deploying machine learning systems

Familiarity with ML frameworks (PyTorch, TensorFlow)

Experience with large datasets

Understanding multimodal machine learning

Designing systems balancing automation and quality

Complex problem solving

Systems thinking

Clear communication

Job description

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

What the job involves

• We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify
• In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images: enabling automation, improving quality, and unlocking new product experiences
• This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide
• 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