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Red Team Engineer, Safeguards

Label Your Data·$320,000 – $405,000

Primary stack

API

Nice to have's

Machine Learning

Job description

About the Position

Red Team Engineer, Safeguards

Remote-Friendly (Travel Required) | San Francisco, CA

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 Role

Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.

While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse - from coordinated account manipulation and payment fraud to novel exploitation of product features - and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.

Responsibilities

  • Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques
  • Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms
  • Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives
  • Build and maintain systematic testing methodologies that evaluate every aspect of our systems
  • Develop automated testing frameworks to enable continuous assessment at scale
  • Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements
  • Help establish metrics for measuring detection effectiveness of novel abuse

Requirements

  • Experience in penetration testing, red teaming, or application security
  • Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors
  • Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)
  • Experience building custom automation, including LLM-specific testing frameworks
  • A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
  • A public body of work such as CVEs, blog posts, or disclosed bug bounty reports
  • Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences

Preferred Qualifications

  • Experience with AI/ML security or adversarial machine learning
  • Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks
  • Experience testing API security and rate-limiting systems
  • Background in testing business logic vulnerabilities and authorization bypass techniques
  • Background in anti-fraud, trust & safety, or abuse prevention systems
  • Familiarity with distributed systems and infrastructure security
  • Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses
  • Adaptability to understand and build engagements around emerging threats outside your direct area of expertise

We Offer

  • Competitive compensation: $320,000-$405,000 USD annually
  • Hybrid work 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.

About the Company

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.

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.

© 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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