Red Team Specialist, Safeguards

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 Specialist 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 take 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. You'll 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

You may be a good fit if you have:

• Demonstrated experience in penetration testing, red teaming, or application security
• Strong technical skills in web application security, including hands-on expertise with security testing tools (Burp Suite, Metasploit, custom scripting frameworks, etc.)
• A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
• Experience with security testing tools and the ability to build custom automation
• Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences
• Proven ability to think like an attacker 

Strong candidates may also have:

• Experience with AI/ML security or adversarial machine learning
• 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
• Understanding of AI safety considerations beyond traditional security

The expected salary range for this position is:

Annual Salary:$275,000—$355,000 USD

Logistics

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.

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 common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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.