Staff+ Software Engineer, Account Creation

Anthropic•San Francisco, NY
•Hybrid

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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

Benefits

  • competitive compensation
  • benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • a lovely office space in which to collaborate with colleagues
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