Shape the machine learning strategy for content understanding and platform-level decisioning
Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
Design and deploy models across text, audio, image, and video domains
Build systems that enable controlled, reliable access to content and metadata for downstream applications
Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
Improve automation to reduce manual intervention while maintaining high standards of trust and quality
Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design

You have strong experience building production-grade machine learning systems at scale
You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
You have worked with or are interested in multimodal machine learning
You understand how to design systems that balance automation with quality, safety, and user experience
You are comfortable working on complex, ambiguous problems with high impact
You think in systems, connecting models to platform-level outcomes and user experiences
You care deeply about data quality, evaluation rigor, and system reliability
You communicate clearly and influence across technical and non-technical teams

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.

Senior Staff Machine Learning Engineer, Content Platform

Key skills