Machine Learning Systems Engineer

Anthropic is seeking a Machine Learning Systems Engineer to join their Model APIs team, focusing on Model Evaluations infrastructure and Research Inference. This role is crucial for building scalable systems that enable researchers to effectively evaluate models and conduct inference tasks critical to Anthropic's mission of creating safe and beneficial AI systems.

The position offers an opportunity to work at the forefront of AI development, collaborating with researchers to build infrastructure that makes their workflows more efficient and reproducible. The role combines software engineering expertise with ML systems development, though prior ML experience isn't mandatory for strong engineers.

Working at Anthropic means joining a cohesive team focused on large-scale research efforts, treating AI research as an empirical science. The company values impact and collaboration, with frequent research discussions and a strong emphasis on communication skills. Their work builds on impressive research foundations including GPT-3, Circuit-Based Interpretability, and AI Safety.

The compensation package is highly competitive ($300,000 - $405,000), with comprehensive benefits including flexible working hours, generous leave policies, and a collaborative office environment in San Francisco. The hybrid work model requires at least 25% office presence, and visa sponsorship is available for qualified candidates.

This role is perfect for experienced engineers passionate about AI safety and development, offering the chance to directly impact the advancement of beneficial AI systems while working with a dedicated team of researchers and engineers.