About the Team

OpenAI's Review and Training Platform is one of three major pillars in building our AI models that align with our mission, namely developing safe and universally beneficial AGI. With OpenAI being extremely high-profile, it’s imperative that we ensure the data we gather and maintain is secure. The team provides RLHF and evals across the OpenAI organization and has critical security needs. Projects like ChatGPT, plugins, browsing, code interpreter, GPT-V and others are aligned with human intent gathered by data, both human and synthetic. With the help of comprehensive human insights represented as labels, we develop AI systems that are aligned with human interests.

Our team designs, deploys and serves the infrastructure publicly necessary to generate data at scale from a variety of sources and is responsible for the ML operations, data management tooling, quality and eval systems, model experimentation and insights tools that are leveraged to improve overall AI models. We use data from AI trainers to power alignment with the instruction following models and to train AI to leverage web browsing when answering questions. We harness high quality data from synthetic and human experts across a variety of domains and leverage OpenAI ML models to supercharge the data collection and quality process.

About the Role

In this role, you will:

• Innovate on Detection and Response infrastructure for our Core Data Systems
• Build tools for managing the lifecycle of detection/threat rules
• Develop, measure, and tune threat response heuristics to ensure our critical business doesn’t leak to external third-parties..
• Automate manual response processes .
• Ensuring visibility and control of OpenAI’s endpoint fleet (macOS, Windows)
• Driving improvements across identity access and management (IAM), device management, productivity software, and our use of public cloud environments (e.g. AWS, Microsoft Azure).
• Collaborate closely with product managers, researchers, and the rest of our engineering team to create new products around emerging research capabilities and unsolved customer needs
• Iterate rapidly to publicly launch services for external usage/consumption while guaranteeing the security, performance, observability, and reliability of our systems.

You might thrive in this role if you:

• Experience in Security or a Security-adjacent field. We are open to junior, mid-level and senior candidates as we are recruiting multiple Security Engineers to join the team.
• Have meaningful experience with building (and rebuilding) production systems with security in-mind to deliver new product capabilities and to handle increasing scale
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
• Experience with Microsoft Azure and/or cloud infrastructure platforms
• Knowledge of modern adversary tactics, techniques, and procedures.
• Proficiency with a scripting language (e.g. Python, Bash, PowerShell, or similar).
• 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 (and your teammates’) workflows, but only when off-the-shelf solutions won’t do
• Are interested in and thoughtful about the impacts of AI technology (see our Charter for examples of our goals) and care deeply about the impact of ML models on people's lives; how to maximize the benefits and mitigate the possible harms.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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