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Anthropic

Security Engineer, Offensive Security

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA

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About the Role

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 Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: • Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. • Penetration test specific, high value deployments. • Contribute to AI-assisted security testing tooling and workflows. • Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. • Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: • 5+ years of hands-on experience in red teaming and offensive security operations • Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines • Track record of discovering novel attack vectors and chaining vulnerabilities creatively • Experience conducting adversarial simulations against well-defended environments • Strong engineering skills (Python, Go, or similar) • Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes • Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with: • Prior work at organizations with state actor threat models • Interest in AI safety and how security engineering contributes to responsible AI developments • Background testing AI/ML systems or agentic workflows • Familiarity with detection engineering and SIEM/EDR platforms from the defensive side • Experience with data center security or hardware-based attacks Deadline to apply: None. Applications will be received on a rolling basis. 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:$300,000—$320,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in comm
AI Safety / LLM500-1000 employeesSan Francisco, CAFounded 2021💰 Series E

Anthropic PBC is an American artificial intelligence (AI) company headquartered in San Francisco. It has developed a family of large language models (LLMs) named Claude. Anthropic operates as a public benefit corporation, which researches and develops AI to "study their safety properties at the technological frontier" and use this research to deploy safe models for the public.

PythonPyTorchJaxTypeScriptReact
Competitive salary · Equity · Health/dental/vision

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