Cyber Evaluations Engineer

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.

We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team.

Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models

Execute per-release safeguard-robustness testing ahead of major model launches

Analyze evaluation results and communicate findings clearly to the team and to stakeholders

Design, prototype, and tune detection probes for cyber misuse

Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time

Build and maintain internal tooling used to run and score evaluations

Collaborate with policy and engineering partners to translate eval findings into safeguard improvements

Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines

Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research)

Proficiency in Python

Strong ability to communicate evaluation results with multiple cross‑functional stakeholders or potential policy stakeholders

Deep offensive-security or security-research experience, including experience building AI security benchmarks

Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry)

Experience working onsite with government partners on testing or evaluation engagements

Experience with AI/ML evaluation frameworks

Familiarity with coordinated vulnerability disclosure practices

Experience testing pre-release or pre-deployment software or models under confidentiality constraints

Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection

Active secret security clearance or higher, or eligibility to obtain one

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.

$300,000 - $405,000 USD

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…