Researcher, Cybersecurity Products
San Francisco, CA - USA
Job Summary
Anthropics 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.
Were looking for a Capabilities Researcher to join the team building Claude this role youll 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. Youll be responsible for answering those questions through fast prototyping and rigorous evaluation and your findings will shape what the team decides to build.
Youll also work on making those capabilities usable. Together with engineers on the team youll design the scaffolding tooling and defaults that let a strong model capability do useful work for a non-expert and youll 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.
- 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
- 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 dont 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
- 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 roles 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:
$320000 - $405000 USD
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
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. Were 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.
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.
Required Experience:
IC
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.