Cyber Evaluations Engineer

Anthropic

United States

Remote

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Anthropic is hiring Cyber Evaluations Engineers to build and run evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You will design new evals, run per-release robustness testing, and analyze data on jailbreaks and prompt bypasses to understand safeguards performance.

You will design detection probes and shape the layered abuse-detection architecture with the policy team, partnering with engineering to translate findings into improvements across models.

Qualifications

  • Experience building or running evaluations, benchmarks, or test suites for software or ML systems.
  • 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 cross-functional stakeholders.

Responsibilities

  • Design and run evaluations to assess cyber-relevant risk in new models.
  • Execute per-release safeguard-robustness testing before launches.
  • Analyze results and clearly communicate findings to stakeholders.
  • Design probes for cyber misuse and detection architecture with policy team.
  • Build and maintain tooling to run and score evaluations.
  • Collaborate with policy and engineering to translate findings into improvements.

Skills

Python
Cybersecurity experience
Communication

Job description

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 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.

Key responsibilities
  • 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
Minimum qualifications
  • 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
Preferred qualifications
  • 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 sa

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