Anthropic· AI Research & Engineering· San Francisco, CA | New York City, NY
Software Engineer, Safeguards
Classified Tasks (10)
Automate 0%Augment 100%Human-Only 0%
Augment (10)
AI assists, human decides
Build safety and oversight mechanisms for AI systems
technical
Monitor models for unwanted behaviors, misuse, and threats to user well-being
operational
Develop systems to detect unwanted model behaviors from API partners
technical
Implement automated enforcement actions in response to detected unwanted behaviors
technical
Surface detection results and enforcement signals in internal dashboards for analyst manual review
operational
Build abuse detection mechanisms and supporting infrastructure
technical
Surface abuse patterns to research teams to enable model hardening at the training stage
analytical
Build robust, reliable, multi-layered defenses for real-time, scalable safety improvements
technical
Prevent disallowed use of models by designing and deploying prevention mechanisms and interventions
technical
Enforce terms of service and acceptable use policies via technical controls and monitoring
operational
Job description
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: Bachelor’s degree in Computer Science, Software Engineering or comparable experience 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection and mitigation Proficiency in Python and Typescript Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. 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 w