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 • 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

Where You Will Be • This role is based in New York, NY

• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.