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.