Staff Machine Learning Engineer - Content Intelligence

What You Will Do

• 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

Who You Are

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