Dive into the world of big data and trend analysis to solve complex problems and improve Meta community experiences! Learn how to scale and automate abuse detection processes—Come join us at Meta! We are looking for engineers with extensive experience investigating and analyzing online abuse, and actively implementing countermeasures. Our focus on data analysis and machine learning as well as our knowledge of the robust infrastructure of our back-end systems allows us to collaborate seamlessly with Software engineering, data science, and operations teams to build tools and techniques necessary to enforce at scale. Integrity Science Engineers have the opportunity to work on many of the most challenging, complicated, and high-visibility integrity risks the company faces. Our work impacts the billions of people who use Facebook products. The potential for impact with this work is substantial, as outcomes could affect the billions of people who use our products. Successful candidates for this team thrive on taking decisive action and possess a keen ability to identify patterns amidst complexity. They are adept at making prompt, data-backed decisions and aren’t afraid to delve deep into investigating the underlying causes of abuse. The perfect candidate will have a background in a quantitative or technical field, will have in-depth experience in data-driven decision making, and has a passion for adversarial problem spaces. You are scrappy, focused on results, a self-starter, and have demonstrated success in using any tools on to reduce abuse and negative user experiences across the platform.