Research Engineer, Takeoff Intel
Anthropic
Remote-Friendly (Travel Required) | San Francisco, CARemote OKFull-time
About this role
<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>About the team</h2> <p>At Anthropic, <a href="https://www.anthropic.com/institute/recursive-self-improvement" target="_blank">we are delegating a growing share of AI development to AI systems themselves</a>. Takeoff Intel is the team that measures this recursion from the inside. We&39;re part of the <a href="https://www.anthropic.com/institute" target="_blank">Anthropic Institute</a>. We design evaluations of AI R&amp;D capabilities, build the internal telemetry Anthropic uses to track how much of its own model development is becoming AI-assisted, and develop the quantitative methods that turn those signals into a calibrated picture of where capability growth is heading, so that Anthropic and the wider world have accurate situational awareness on this acceleration.</p> <p>Our work appears in Anthropic&39;s model system cards (we own the AI R&amp;D capability assessments and adapted <a href="https://epoch.ai/eci" target="_blank">Epoch&39;s Capabilities Index</a> to our evals); all the data in <a href="https://www.anthropic.com/institute/recursive-self-improvement" target="_blank">When AI Builds Itself</a> comes from our team. Internally, our measurements shape research priorities and safety planning; externally, they contribute to Anthropic&39;s public reporting on the pace of AI progress and to collaborations with third-party evaluators. We&3