Biosafety Red Teaming Specialist (AI)

TL;DR

Biosafety Red Teaming Specialist (AI): Leading red teaming efforts for biosafety and maturing bio bounty programs with an accent on biological and chemical (CBRN) risk mitigation. Focus on designing adversarial test plans, reviewing high-stakes biological findings, and collaborating cross-functionally to ensure AI safety.

Location: San Francisco, Seattle, or Remote (must be based in the US)

Salary: $158.4K – $320K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead bio red teaming from a domain perspective, shaping evaluation scenarios, questions, and success criteria for misuse pathways.
• Manage the Bio Bounty program strategy, including researcher pipelines, submission review standards, and challenge-question lifecycles.
• Assess how malicious actors might misuse AI capabilities across planning, protocol design, procurement, and operationalization.
• Translate sensitive findings into concise risk calls and recommended next steps for technical and non-technical stakeholders.
• Collaborate with Preparedness, Safety Systems, Policy, and Legal teams to turn findings into concrete mitigation work.

Requirements

• Technical/scientific background with at least 8 years of technical CBRN experience.
• Deep subject-matter expertise in biosafety, biosecurity, biodefense, synthetic biology, or public health security.
• Experience with bio red teaming, threat modeling, misuse analysis, or adversarial testing involving weaponization pathways.
• Strong operations and/or program management experience.
• Must be based in the US.

Nice to have

• Experience managing bounty, vulnerability disclosure, or external expert review programs.
• Experience with AI safety evaluations or frontier model risk assessment.
• Familiarity with how advanced AI systems may affect biological safety or CBRN risk.

Culture & Benefits

• Direct impact on the mission of developing AI that benefits all of humanity.
• Collaborative cross-functional environment involving policy, legal, and engineering teams.
• Compensation includes competitive salary and equity offers.
• Commitment to an equal opportunity employer environment with diverse perspectives.