Senior Staff Machine Learning Engineer - Content Policy & Safety

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

You have strong experience building production-grade machine learning systems at scale

You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar

You have worked on systems where ML outputs influence real-world decisions

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

You are comfortable working on complex, ambiguous problems with high impact

You think in systems and understand how models connect to platform-level outcomes

You care about data quality, evaluation rigor, and system reliability

You communicate clearly and influence across technical and non-technical teams

This role is based in London or Stockholm

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.