Software Engineering • Mid-Level

Who you are

You have at least 5 years of software engineering experience, particularly in backend and data systems, and you understand the intricacies of building scalable applications. Your background includes at least 2 years of experience in fraud or abuse analysis, investigation, and operations — you've navigated complex challenges in identifying and mitigating fraudulent activities.

You are familiar with the latest techniques and tools in fraud detection and have a proactive mindset to stay ahead of adversaries. Your experience allows you to balance fraud loss, cost of implementation, and customer experience effectively, ensuring that systems are both secure and user-friendly.

What you'll do

In this role, you will design and build systems for fraud detection and remediation, collaborating closely with finance, security, product, research, and trust & safety operations teams. You will utilize GPT-4 and future models to enhance the effectiveness of fraud combat strategies. Your responsibilities will include architecting solutions that are robust and scalable, ensuring that OpenAI's powerful tools are used responsibly while maintaining a focus on user experience.

You will stay abreast of the latest trends in fraud detection and continuously improve the systems in place. Your work will directly impact the safety and integrity of OpenAI's technology, contributing to a secure environment for users and customers alike.

What we offer

At OpenAI, you will be part of a mission-driven team that is committed to ensuring the responsible use of artificial intelligence. We provide a collaborative work environment where your contributions will be valued and recognized. You will have opportunities for professional growth and development, working alongside some of the brightest minds in the industry.

We encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of technology and making a meaningful impact in the world.