Jobs / United States / Anthropic Pbc D B A Anthropic INC

Staff+ Fullstack Software Engineer, Safeguards Engineering

Anthropic Pbc D B A Anthropic INC · 🇺🇸 San Francisco, CA | New York City, NY

Sponsorship verdict

Strong sponsorship evidence

The employer is on a government sponsor record here and the posting itself mentions sponsorship.

  • Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
  • The posting mentions sponsorshipThis is the employer’s own statement in the listing.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Anthropic Pbc D B A Anthropic INC

1 H-1B approval in FY2023

USCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).

This posting mentions sponsorship itself

Vacancy-level signal in the employer's own words — stronger than history alone, still not a promise.

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Anthropic Pbc D B A Anthropic INC →

About the role

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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: • Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. • Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. • Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. • Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: • A Bachelor’s degree in Computer Science, Software Engineering or comparable experience • Proficiency in TypeScript and modern React; comfortable in Python for backend work • The ability to work across the stack • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: • 8+ years of experience in a software engineering position, not including internships or co-ops • Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces • Have experience with integrity, spam, fraud, or abuse detection and mitigation • Have experience building trust and safety detection mechanisms and intervention for AI/ML systems • Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs • Have worked closely with operational teams to build custom internal tooling 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. Annual Salary: $405,000 — $485,000 USD Logistics 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 tim

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Source: Greenhouse (employer board) First seen: 2026-10-09 Last confirmed: 2026-10-09 How our data works → Report this job

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