Staff+ Researcher, Cybersecurity Products

Anthropic Limited; San Francisco (CA); On-site; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking a Capabilities Researcher to join the team building Claude Security. You will identify security capabilities in frontier models, measure performance, and ensure usability for non-experts.

The role blends research with product impact, offering latitude to pursue meaningful security advances with engineering support. Ideal candidates have deep security expertise, a track record in prototype development, and the ability to communicate technical findings clearly.

Qualifications

• 7+ years of experience in security research, security engineering, or a closely related field.
• Ability to prototype quickly and evaluate ideas rigorously.
• Strong ability to write and communicate technical findings clearly.

Responsibilities

• Prototype rapidly to define the AI security frontier.
• Design evaluations that measure model performance for security work.
• Build datasets, harnesses, and scoring for evaluations.
• Engage with the cybersecurity community to define impact.
• Collaborate with engineers to operationalize capabilities into products.
• Track evolving model capabilities for security and inform next steps.
• Share findings to guide product direction and priorities.

Skills

Vulnerability research

Exploit development

Reverse engineering

Malware analysis

Incident response

Offensive security

Education

Bachelor’s degree or equivalent

Job description

Staff+ Researcher, Cybersecurity Products

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

We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.

Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.

You’ll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.

This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.

Responsibilities

• Prototype rapidly to find define the AI frontier for cybersecurity work
• Design evaluations that measure model performance on the work security teams actually do
• Build the datasets, harnesses, and scoring those evaluations depend on
• Engage with the cybersecurity community to help define where AI can make the most impact
• Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
• Track how model capabilities for security are changing, and what that means for what we build next
• Share findings that inform product direction, and partner with product leadership on priorities

You may be a good fit if you:

• Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
• Have built AI-powered tools or capabilities for security work
• Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
• Are comfortable designing rigorous evaluations and interpreting the results honestly
• Can write and communicate clearly about technical findings
• Have 7+ years of experience in security research, security engineering, or a closely related field

Strong candidates may also have:

• Published research, CTF results, CVEs, or open source security tooling
• Experience with model evaluation, benchmarking, or red teaming
• Experience building agentic applications
• Familiarity with the safety considerations of AI in security contexts

Deadline to apply: None. Applications will be reviewed 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.

$405,000 - $485,000 USD

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

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 [e-mail] 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 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. Guidance on Candidates' AI Usage: Learn aboutour policy for using AI in our application process.

We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”

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