Machine Learning Systems Engineer, Model APIs

Anthropic is seeking a Machine Learning Systems Engineer to join their Model APIs team, focusing on building and maintaining critical infrastructure for AI research and evaluation. This role combines software engineering expertise with ML systems development, requiring 5+ years of software engineering experience. The position offers a competitive salary range of $300,000-$405,000 and is based in San Francisco with a hybrid work arrangement (minimum 25% in-office).

The role involves designing and implementing scalable systems for model evaluation and research inference, creating data pipelines, and building tools that enable researchers to effectively assess and develop AI models. Key responsibilities include maintaining Model Evaluations infrastructure, developing Research Inference APIs, and collaborating closely with research teams to understand and meet their evolving needs.

Anthropic's mission centers on creating reliable, interpretable, and steerable AI systems, with a strong focus on safety and beneficial outcomes for society. The company operates as a public benefit corporation and offers comprehensive benefits including competitive compensation, equity donation matching, generous leave policies, and flexible working arrangements.

The ideal candidate will have strong software engineering fundamentals, experience with data infrastructure, and proficiency in Python and cloud platforms. While ML experience is beneficial, strong engineers without ML background are encouraged to apply. The role requires excellent communication skills, independence, and a commitment to responsible AI development.

Working at Anthropic means joining a collaborative team focused on high-impact AI research, with an emphasis on empirical science and practical results. The company values diverse perspectives and encourages applications from candidates of all backgrounds, particularly those from underrepresented groups in tech.

This position offers the opportunity to work on cutting-edge AI systems while contributing to their safe and beneficial development. The role combines technical challenges with meaningful impact, supported by a strong benefits package and a collaborative work environment in San Francisco.