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Anthropic· AI Research & Engineering· San Francisco, CA

Research Engineer, Frontier Red Team (Autonomy)

Classified Tasks (12)

Automate 0%Augment 75%Human-Only 25%

Augment (9)

AI assists, human decides

Design autonomous AI systems that use tools and operate across diverse environments to create model organisms for studying adversarial AI

technical

Build autonomous AI model organisms that simulate self-improving, highly autonomous agent behavior

technical

Evaluate model organisms to characterize behaviors, capabilities, and vulnerabilities of autonomous systems

analytical

Create evaluation suites and training environments to measure, understand, and shape agent behavior toward desired outcomes

technical

Develop defensive agents that detect, disrupt, or outcompete adversarial AI systems in realistic scenarios

technical

Translate technical findings into demonstrations and artifacts that inform policymakers and the public

communication

Develop systems enabling Claude to control multiple hardware and robotics platforms simultaneously

technical

Create attack-defend simulations (CTFs, wargames, adversarial games) to test and evaluate defensive AI capabilities

operational

Design and implement reinforcement learning environments to train defensive agents

technical

Human-Only (3)

Requires human judgment

Integrate Claude with hardware platforms (e.g., robotics, physical systems) to test cyberphysical risks and defenses

technical

Collaborate with external experts in cybersecurity, national security, and AI safety to scope, validate, and refine research directions

leadership

Deploy autonomous systems against real-world security challenges to characterize risks and develop mitigations

operational

Job description

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 auton
Source: Anthropic careers · scraped 2026-05-22
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