Staff Machine Learning Engineer - Content Intelligence

Requirements

• Experience building and deploying machine learning systems in production
• Comfort with ML frameworks such as PyTorch, TensorFlow, or similar
• Experience working with large datasets and care about data quality and evaluation
• Interest or experience in multimodal machine learning
• Ability to design systems balancing automation, quality, and user experience
• Comfort with complex problems and evolving requirements
• Ability to think in systems and understand how models connect to product outcomes
• Clear communication skills and ability to work well across technical and non-technical teams

What You Will Be Doing

• Build and scale machine learning systems for content understanding
• Develop models for classification, tagging, semantic understanding, and content enrichment
• Create high-quality content enrichment at scale
• Design systems to make content intelligence signals available to downstream teams and products
• Improve automation for content quality, safety, and metadata enrichment at scale
• Collaborate with cross-functional teams to translate content intelligence into user impact
• Contribute to evaluation frameworks, data pipelines, and annotation systems
• Support rapid experimentation and launch of new content signals
• Enhance system reliability, scalability, and performance across large datasets

Where You Will Be

• Role based in London or Stockholm
• Flexibility to work where you work best, with some in-person meetings and remote work options