About the RoleAt OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities.
In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.
Your Responsibilities:- Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
- Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models' alignment to human values. .
- Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.
You might thrive in this role if:- You have built and run production services in a high growth, rapidly scaling environment.
- You can debug live issues and restore systems quickly.
- You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day ("now-term") AI safety.
- You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python.
- You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely.
- You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience.
- You're pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution.
- You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance.
- You've deployed classifiers or machine learning models, or are excited to learn about modern ML infra.
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 who understand the fundamental problems these tools solve, and can quickly pick up new tools and frameworks.
