Software Engineer, Anti Fraud & Abuse

About the team

The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems.

In this role, you will:

• Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience
• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system
• Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries
• Utilize GPT-4 and future models to more effectively combat fraud and abuse

You might thrive in this role if you:

• Have at least 5 years of software engineering experience in backend and data systems.
• Have at least 2 years experience in fraud or abuse analysis, investigation, and/or operations
• Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.
• A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others
• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary
• Experience in Machine Learning techniques is a plus, but not required

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.