Senior Staff Machine Learning Engineer - Content Policy & Safety

What You Will Do

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Define & drive machine learning strategy for safety, policy enforcement, and compliance systems

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Build and scale ML systems for detection, classification, and risk assessment across content

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Develop automated decisioning systems that ensure consistent, reliable enforcement of policies

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Design systems that support real-time and large-scale content evaluation

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Collaborate with product, policy, and trust & safety teams to operationalize content standards

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Improve automation to reduce manual intervention,maintaining high quality and safety standards

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Drive best practices in evaluation, fairness, and system reliability

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Mentor engineers and contribute to technical direction across teams

Who You Are

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

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

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

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

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

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

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

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

Where You Will Be

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This role is based in London or Stockholm

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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.