As a Software Engineer on the Safeguards team, you will develop and implement safety and oversight mechanisms for AI systems. Your primary responsibilities will involve building monitoring and abuse detection infrastructure to prevent misuse and ensure user well-being, while working across the stack and collaborating with research teams to harden models.
About the role
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
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
Experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Worked closely with operational teams to build custom internal tooling