Senior Staff Machine Learning Engineer - Content Policy & Safety
Leads the strategy, development, and scaling of machine learning systems for content safety, policy enforcement, and compliance. The role requires production ML experience, modern frameworks, rigorous evaluation, and the ability to influence cross-functional technical direction.
About the job
Responsibilities
- Define and 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 decision-making 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 and safety teams to operationalize content standards.
- Improve automation to reduce manual intervention while maintaining high quality and safety standards.
- Drive best practices in evaluation, fairness, and system reliability.
- Mentor engineers and contribute to technical direction across teams.
Requirements
- Strong experience building production-grade machine learning systems at scale.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience working on systems where ML outputs influence real-world decisions.
- Understanding of how to design systems that balance automation with safety and user experience.
- Ability to work on complex, ambiguous, high-impact problems.
- Systems thinking and understanding of how models connect to platform-level outcomes.
- Commitment to data quality, evaluation rigor, and system reliability.
- Clear communication and ability to influence technical and non-technical teams.
Skills
Machine Learning, PyTorch, TensorFlow, Content Classification, Risk Assessment, Policy Enforcement, Real-Time Systems, Model Evaluation, Fairness, System Reliability, Data Quality
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