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.We are looking for engineers with extensive experience investigating and analysing 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 engineering, data science, and operations teams to build tools and techniques necessary to enforce content quality at scale. Integrity Scientists 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 Meta 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 have a bias toward action and enjoy finding patterns amid chaos, making quick decisions, and aren't afraid of being wrong. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have in-depth experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to reduce abuse and negative user experiences across the platform.

Integrity Science Engineer Responsibilities:

• Identify and investigate online bad actors with the interest and capability to target Meta and its users
• Work closely with others to identify sources of abusive behaviour and take countermeasures to stop abuse
• Lead technical investigations from start-to-finish and effectively communicate actionable results to different audience types
• Manage multiple projects at once while prioritising time based on team priorities

Minimum Qualifications:

• Indepth experience doing quantitative analysis.
• BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field.
• Experience investigating and acting on high-impact threats and online threat actors
• Experience with relational databases and SQL.
• Experience thinking critically and qualifying assessments with solid communications skills
• Experience coding in at least one of the following: PHP, Python, or Java.

Preferred Qualifications:

• Advanced degrees in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field.
• Experience prioritising and executing with minimal direction or oversight
• Experience working across the broader integrity/security/Trust & Safety community
• Experience in adversarial space like fraud and spam
• Proven track record of managing and executing on short term and long term projects
• Familiarity with cross-platform integrity threats
• Demonstrated understanding of security and integrity risks, and how they apply to Meta and its users

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.





Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.