About this role

Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
Build and scale ML systems for detection, classification, and risk assessment across content
Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
Design systems that support real-time and large-scale content evaluation
Collaborate with product, policy, and trust & safety teams to operationalize content standards
Improve automation to reduce manual intervention, maintaining high quality and safety standards
Drive best practices in evaluation, fairness, and system reliability
Mentor engineers and contribute to technical direction across teams

Strong experience building production-grade machine learning systems at scale
Experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar
Worked on systems where ML outputs influence real-world decisions
Understand how to design systems that balance automation with safety and user experience
Comfortable working on complex, ambiguous problems with high impact
Think in systems and understand how models connect to platform-level outcomes
Care about data quality, evaluation rigor, and system reliability
Communicate clearly and influence across technical and non-technical teams

Senior Staff Machine Learning Engineer – Content Policy & Safety

Key skills