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Hirify AI/Оригинал
TL;DR
Policy Design Manager, Conventional Weapons (AI Safety and Policy): Defining and operationalizing Anthropic’s conventional weapons policy through threat models, evaluations, model guardrails, detection systems, and enforcement tooling with an accent on dual-use technologies, software-defined weapons, and autonomous systems. Focus on translating technical weapons expertise into precise policy, analyzing systems using open sources, and coordinating with engineering, legal, leadership, government, and industry partners.
Location: San Francisco, CA; New York City, NY; or Washington, DC. Hybrid work is required, with staff expected to be in an office at least 25% of the time.
Annual salary: $245,000–$285,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
Own and maintain the policy defining which conventional weapons activities Claude should and should not support.
Build threat models and evaluations covering weapons development, software, autonomy, and potential misuse of dual-use technologies.
Partner with engineering to translate policy into model guardrails, detection systems, and enforcement tools.
Serve as the subject-matter expert for escalations involving conventional weapons content and emerging risks.
Communicate policy reasoning to product, engineering, legal, leadership, and other technical and non-technical audiences.
Engage external experts, government, and industry partners to strengthen policy and enforcement.
Requirements
Deep, applied expertise in weapons systems and the ability to translate technical evidence into sound policy judgments.
Experience in a service research laboratory, defense research or innovation agency, or weapons-systems company.
Ability to write clear, operationally precise policy and explain complex technical topics to non-specialists.
Understanding of legal frameworks governing weapons and their transfer across jurisdictions.
Ability to conduct rigorous open-source technical analysis of weapons systems.
Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Nice to have
Understanding of machine learning and large language model fundamentals.
Engineering experience in systems engineering, robotics and autonomy, guidance, navigation and control, sensors, signal processing, aerospace, mechanical engineering, materials, energetics, or embedded software.
Experience with ITAR, EAR, international arms-control regimes, classifiers, LLM-based evaluations, trust and safety, or product policy.
Culture & Benefits
Collaborative work across research, engineering, policy, and business functions.
Focus on large-scale research efforts and empirical, high-impact AI safety work.
Flexible working hours and an office environment designed for collaboration.
Visa sponsorship is available for eligible roles and candidates, with immigration-lawyer support.
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