Research Engineer, Universes

<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="heading"><strong>About the Team</strong></h2> <p>The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios.</p> <h2 class="heading"><strong>About the Role</strong></h2> <p>We&39;re looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI.</p> <p>This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You&39;ll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability.</p> <h2 class="heading"><strong>Responsibilities:</strong></h2> <ul> <li> <p>Build the next generation of agentic environments</p> </li> <li> <p>Build rigorous evaluations that measure real capability</p> </li> <li> <p>Collaborate across research and infrastructure teams to ship environ