Research Engineer, Frontier Red Team (Autonomy)

About Anthropic 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. About the Team The Frontier Red Team (FRT) is a small, focused technical research team within Anthropic's Policy organization. Our goal is to make the entire world safer in this era of advanced AI by understanding what these systems can do and building the defenses that matter. In 2026, we're focused on researching and ensuring safety with self-improving, highly autonomous AI systems—especially ones with cyberphysical capabilities. See our previous related work on cyberdefense , robotics , and Project Vend . We'll also be collaborating closely with the Emerging Risks workstream to understand novel, societal-scale risks that arise when agents interface with the external world. This is early-stage, high-conviction research with the potential for outsized impact.  Note: We are exclusively hiring in SF. We support relocation, but all hires must relocate before starting. About the Role Our team is focused on a critical question: how do we defend against a world where powerful, autonomous, self-improving AI systems may be used adversarially? As a Research Engineer on our team, you'll build and eval model organisms of autonomous systems and develop the defensive agents needed to counter them. This work sits at the intersection of AI capabilities research, security, and policy—what we learn directly shapes how Anthropic and the world prepare for advanced AI. This is applied research with real-world stakes. Your work will inform decisions at the highest levels of the company, contribute to public demonstrations that shape policy discourse, and help build technical defenses that could matter enormously as AI systems become more capable. What You'll Do Design and build autonomous AI systems that can use tools and operate across diverse environments—creating model organisms that help us understand and defend against advanced adversarial AI Create evals and training environments to understand and shape agent behavior in desirable ways Develop defensive agents that can detect, disrupt, or outcompete adversarial AI systems in realistic scenarios Interface Claude with hardware platforms (e.g. robotics, physical systems) to understand cyberphysical risks and defenses Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions Sample Projects Developing systems where Claude controls diverse hardware and robotics platforms simultaneously Creating attack-defend simulations (CTFs, wargames, adversarial games) to test defensive AI capabilities Designing and implementing RL environments for training defensive agents Pointing autonomous systems at real-world security challenges to characterize risks and develop mitigations You May Be a Good Fit If You Have strong software engineering skills, particularly in Python Have experience building and working with LLM-based agents or autonomous systems Are driven to find solutions to ambiguously scoped, high-stakes problems Design and run experiments quickly, iterating fast toward useful results Thrive in collaborative environments (we love pair programming!) Care deeply about AI safety and want your work to have real-world impact on how humanity navigates advanced AI Can own entire problems end-to-end, including both technical and non-technical components Are comfortable working on sensitive projects that require discretion and integrity Strong Candidates May Also Have Experience with reinforcement learning, self-play, or multi-agent systems Experience with robotics, hardware interfaces, or cyberphysical systems Track record of building demos or prototypes that communicate complex technical ideas Experience working with external stakeholders (policymakers, government, researchers) Familiarity with AI safety research and threat modeling for advanced AI systems The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level