The Account Abuse team at Anthropic focuses on ensuring that computing capacity is allocated fairly and preventing bad actors from abusing the system. As a Staff+ Software Engineer, you will build scalable systems to gather and analyze signals, coordinate closely with stakeholder teams, and develop robust defenses against account abuse. Your work will involve rapid problem-solving in a greenfield environment, integrating third‑party data, creating monitoring dashboards, collaborating with data scientists and policy teams, and leading root‑cause analyses to improve enforcement and systemic defenses.
Staff+ Software Engineer, Account Abuse en Anthropic
Híbrido - San Francisco, CA, USA
Más vacantes en AnthropicSalary
USD 320,000 - 485,000
Requirements
Skills
- Bachelor’s degree in Computer Science, Software Engineering or comparable experience
- Proficiency in Python, SQL, and data analysis tools
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
- 8+ years of industry software engineering experience (not including internships and co-ops)
- Experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
- Experience working closely with operational teams to build custom internal tooling
- Experience with integrity, spam, fraud, or abuse detection
Responsibilities
- Ability to think and respond quickly in a rapidly-changing greenfield environment
- Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
- Integration with third-party data-enrichment vendors
- Creating monitoring dashboards, alerts, and internal admin UX
- Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
- Building robust and reliable multi-layered defenses
- Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses
Technologies
PythonSQLdata analysis tools
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