Research Engineer, Takeoff Intel

<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'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's model system cards (we own the AI R&amp;D capability assessments and adapted <a href="https://epoch.ai/eci" target="_blank">Epoch'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's public reporting on the pace of AI progress and to collaborations with third-party evaluators. We're a small team that works closely with pretraining, RL, economics, and policy researchers across the company. If you're passionate about measurement accuracy, and feel urgency about safety and situational awareness, you should consider joini