Anthropic

ML Infrastructure Engineer

Not specifiedunknownUSD 320,000–405,000
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Skills

PythonML frameworks (PyTorch, TensorFlow, JAX)Cloud platforms (AWS, GCP)Container orchestration (Kubernetes)Distributed systems principlesData engineering tools (Spark, Airflow, streaming systems)

About the role

ML Infrastructure Engineer, Safeguards 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

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