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Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms.
Job Responsibility:
Scope and implement abuse monitoring requirements for new product launches
Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks
Prototype and mature into production systems of detection, review, and enforcement of abuse for major harms
Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to address them, and with Engineering teams to ensure we have sufficient data and scaled tooling
Respond to and investigate critical escalations, especially those that are not caught by our existing safety systems
Participate in an on-call rotation that will involve resolving urgent escalations outside of normal work hours
Requirements:
At least 4 years of experience doing technical analysis and detection, especially using SQL and Python
Experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams
An investigative mindset
Experience with basic data engineering, such as building core tables or writing data pipelines in production
Experience with machine learning principles and execution
Basic software development skills are a plus as this role writes productionised code
Experience scaling and automating processes, especially with language models