Protection Scientist Engineer, Integrity
OpenAI · London, United Kingdom · Applied AI
About this role
OpenAI is hiring a mid-level Machine Learning Engineer based in London, United Kingdom. The posting calls out experience with Python, SQL, ETL, Machine Learning and roughly 4+ years of relevant work.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- London, United Kingdom
- Work mode
- On-site
- Experience
- 4+ years
- Department
- Applied AI
- Posted
- Oct 8, 2025
More roles at OpenAI
Job description
from OpenAI careersAbout the Team
OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.
The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.
About the Role
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. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams.