Software Engineer, Research Data Platform

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">About the role</h2> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">The Research Data Platform team builds the tools that Anthropic's researchers use every day to manage, query, and analyze the data that goes into training and evaluating frontier models. We power the internal applications researchers rely on to monitor RL runs, explore finetuning datasets, and understand what's happening inside their experiments.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We're looking for engineers who love working directly with users and who excel at building data products — the pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. This role sits closer to the research workflow than a typical data infrastructure position: you'll often embed with research teams, build ML-specific tooling alongside them, and leverage what our Data Infrastructure team has already built rather than reinventing it.</p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.</p> <h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">Responsibilities</h2> <ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(: