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Vacantes / Anthropic

Staff+ Software Engineer, Account Creation

Anthropic·San Francisco, CA | New York City, NY | Seattle, WA

En corto

  • →Ingeniero de software que construye sistemas de detección de abuso y seguridad para IA, enfocado en prevención y supervisión en tiempo real.
  • →Trabajas en capas de defensa, monitoreas comportamientos no deseados y colaboras con equipos de investigación y operaciones.
  • →Destacado: impacto directo en la seguridad y ética de modelos de IA a escala global.

Strong written and spoken English required

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¿Qué piden?

  • ✓Licenciatura en CS, Ingeniería de Software o experiencia equivalente.
  • ✓Dominio en Python y Typescript.
  • ✓Capacidad para trabajar en todo el stack tecnológico.
  • ✓Habilidades de comunicación para explicar ideas técnicas a no técnicos.
  • ✓Experiencia en detección de fraude, spam o abuso.
  • ✓Experiencia en mecanismos de seguridad para sistemas de IA/ML.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonTypescriptAPIsDashboardsMachine LearningMonitoring SystemsReal-time ProcessingInternal ToolingModel TrainingSecurity Infrastructure

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 are looking for 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. Responsibilities: • Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review • Build abuse detection mechanisms and infrastructure • Surface abuse patterns to our research teams to harden models at the training stage • Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: • A Bachelor’s degree in Computer Science, Software Engineering or comparable experience • Proficiency in Python and Typescript • An 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 • 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: $320,000 — $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 time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help

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