Protection Scientist Engineer – Integrity

About the role

Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy development. As a Protection Scientist Engineer on the Integrity team you will design and build systems to proactively identify and enforce abuse on OpenAI’s products, supporting new launches and existing services.

Key responsibilities

• Scope and implement abuse monitoring requirements for new product launches.
• Improve processes to sustain monitoring operations for existing products, including automating monitoring subtasks.
• Prototype and mature production systems for detection, review, and enforcement of major harms.
• Collaborate with Product, Policy, Ops, Investigative, and Engineering teams to ensure sufficient data and scalable tooling.

Required profile

• At least 4 years of experience in technical analysis and detection, especially using SQL and Python.
• Background in trust and safety, working closely with policy, enforcement, and engineering teams, with an investigative mindset.
• Experience with basic data engineering, building core tables or production data pipelines, and applying machine‑learning principles.
• Proven ability to scale and automate processes, particularly with language models.

Required skills

• SQL
• Python
• Data engineering
• Machine learning
• Software development
• Language models