Staff Machine Learning Engineer - Content Intelligence

What You Will Do

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Build and scale machine learning systems that generate deep understanding of content across modalities

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Develop models for classification, tagging, semantic understanding, and content enrichment

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Create high quality content enrichment at scale using LLMs and agentic systems.

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Design systems that make content intelligence signals available to downstream teams and products

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Improve automation for content quality, safety, and metadata enrichment at scale

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Collaborate with product, policy, and engineering teams to translate content intelligence into user impact

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Contribute to evaluation frameworks, data pipelines, and annotation systems

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Support rapid experimentation to prototype and launch new types of content signals

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Help improve system reliability, scalability, and performance across large datasets

Who You Are

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You have experience building and deploying machine learning systems in production

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You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar

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You have experience working with large datasets and care about data quality and evaluation

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You are interested in or have worked with multimodal machine learning

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You understand how to design systems that balance automation with quality and user experience

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You are comfortable working on complex problems with evolving requirements

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You think in systems and understand how models connect to product outcomes

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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.