Anthropic предлагает зарплату заметно выше рыночной, четко очерченную senior-роль и работу в быстроразвивающейся сфере безопасности ИИ. При оценке предложения стоит учесть обязательное присутствие в офисе и дежурства.
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Текст:
Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, Platform Safety (AI): Building identity, verification, access-control, and trusted access program infrastructure that governs access to Anthropic's most capable AI models with an accent on distributed systems, sensitive data protection, and highly available platform services. Focus on turning access rules into configurable data, designing reusable KYC/KYB services, expanding verification across regions, and leading 0 → 1 platform initiatives.
Location: San Francisco, CA or New York City, NY; hybrid policy requires all staff to work from one of the offices at least 25% of the time. Preference is given to candidates based in NY, SEA, SF, or the Bay Area.
Annual salary: $405,000–$485,000 USD.
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
Design, build, and operate systems that determine who can access Anthropic's most capable models and which capabilities they can use.
Build a configurable platform for launching and operating trusted access programs, moving access rules from code into data.
Develop reusable identity and business verification services, including KYC/KYB integrations, sensitive personal data protection, regional expansion, and fair review and appeal paths.
Evolve access-granting and access-holding services, customer and user identity models, and highly available services across Anthropic products and cloud platforms.
Shape architecture through written proposals, review designs, mentor engineers, participate in on-call and incident response, and support emerging programs.
Requirements
At least 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent.
Ability to work across the stack when required and strong product sense when shaping new domains with cross-functional partners, including non-engineers.
Regular use of AI tools when designing, building, and reviewing software.
Experience designing and operating production distributed systems on a critical path where correctness, latency, and availability matter.
Ownership of work across design, build, deployment, operations, and iteration.
Ability to navigate ambiguity, make independent technical decisions, set technical direction adopted by other engineers and teams, and work in both 0 → 1 and mature environments.
Commitment to robust, scalable systems and to the societal impact of safe, beneficial AI.
Bachelor's degree or equivalent combination of education, training, and experience; relevant field of study demonstrated through coursework, training, or professional experience.
Nice to have
Experience with identity, access control, or authorization systems at scale.
Experience with fraud, risk, trust and safety, or KYC/KYB systems, including verification vendor integrations.
Experience in regulated or compliance-sensitive environments involving sensitive personal data.
Experience integrating with AWS, Google Cloud, Azure, or other partner ecosystems.
Culture & Benefits
Collaborative environment combining research, engineering, policy, and business expertise around large-scale AI safety efforts.
Flexible working hours and an office environment for collaboration.
Anthropic supports visa sponsorship where feasible and provides access to an immigration lawyer.
Applications are reviewed on a rolling basis with no stated deadline.
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