
Security Engineer, Offensive Security
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Job description
About the Position
Security Engineer, Offensive Security
Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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
We Offer
- Competitive Compensation: Annual Salary: $300,000-$320,000 USD
- 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 sponsor visas! 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.
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 requirements for the position
Come Work With Us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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.
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.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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