Engineer, Model Artifacts

Anthropic is seeking an experienced Engineer to join their Model Artifacts team to empower AI Research. This role focuses on building and maintaining critical infrastructure that supports groundbreaking AI research while ensuring system reliability and performance. The position involves designing and developing scalable systems for tracking, analyzing, and leveraging data throughout the ML lifecycle.

The company operates as a public benefit corporation headquartered in San Francisco, working as a single cohesive team on large-scale research efforts. They view AI research as an empirical science and value collaboration and communication highly. The team consists of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

The role requires expertise in ML infrastructure or Data Engineering, with strong skills in Python and distributed systems. The successful candidate will work closely with researchers to build solutions that make their workflows more efficient and reproducible. They'll be responsible for developing data pipelines, maintaining backends, and ensuring system reliability.

Anthropic offers a competitive compensation package ranging from $300,000 to $405,000 USD annually, along with benefits including medical insurance, parental leave, and visa sponsorship. The position requires at least 25% time in office, following a hybrid work model. The company emphasizes diversity and encourages applications from candidates who might not meet every qualification, recognizing the importance of diverse perspectives in AI development.