ML Infrastructure Engineer, Safeguards

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About this role

ML Infrastructure Engineer, Safeguards San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: - Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem - Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications - Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems - Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards - Implement automated testing, deployment, and rollback systems for ML models in production safety applications - Partner with Safeguards,

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