About the job
At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. 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.
Responsibilities
Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting.
Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.
Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.
Qualifications
Minimum
Have at least 3 years of professional software engineering experience.
Have experience setting up and maintaining production backend services and data pipelines.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are self-directed and enjoy figuring out the best way to solve a particular problem
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse.
Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.
Preferred
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are self-directed and enjoy figuring out the best way to solve a particular problem
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.