Staff Machine Learning Engineer - Content Intelligence

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

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