Research Engineer, Researcher Productivity

Anthropic is seeking a Research Engineer to join their Researcher Productivity team, focusing on building critical infrastructure for AI systems research. This role combines technical leadership, infrastructure development, and direct research support.

The position involves designing and implementing scalable technical infrastructure for AI system experiments and evaluations. You'll work on creating robust monitoring systems, building internal tools, and supporting researchers across multiple teams. The role requires expertise in Python, distributed systems, and machine learning infrastructure.

Anthropic operates as a cohesive team focused on large-scale research efforts, valuing impact and collaborative work. The company views AI research as an empirical science and has contributed to significant developments like GPT-3, Circuit-Based Interpretability, and Multimodal Neurons.

As a Research Engineer, you'll be part of a growing team of researchers, engineers, policy experts, and business leaders. The role offers competitive compensation ($320,000 - $560,000), comprehensive benefits, and a hybrid work environment in San Francisco. The company sponsors visas and encourages applications from diverse candidates.

Key projects include developing scalable infrastructure for AI interaction experiments, building monitoring systems for detecting misuse, and creating analysis tools for researchers and policy teams. The ideal candidate will have 5+ years of relevant experience, strong Python skills, and experience with production-grade internal tools and research infrastructure.