Integrity Science Engineer

Dive into the world of big data, deep investigations and complex systems to solve challenging problems and improve Facebook community experiences! Learn how to build and improve scaled abuse detection systems and processes. Come join us at Facebook! Integrity Science Engineers have the opportunity to work on many of the most challenging, complicated, and high-visibility problems the company faces. From account takeover, to spam and misinformation. The work we do impacts billions of people who use Facebook products. Our focus on technical investigations, data analysis, machine learning and adversarial thinking as well as our end-to-end understanding of detection and remediation systems allows us to collaborate seamlessly with software engineering, data science, and operations to build processes, tools and capabilities necessary to enforce Facebook community standards at scale. Successful candidates are curious, have bias towards action, are good at finding patterns amid chaos, and enjoy building and leveraging full understanding of phenomena they’re dealing with. The perfect candidate will have a background in a quantitative or technical field, will have an extensive experience dealing with online adversaries, will be comfortable with large data sets, complex products and detection systems, and will have in-depth experience in data-driven decision making. This position is located in our London office.
Integrity Science Engineer Responsibilities
  • Apply your expertise in online abuse, technical investigations and data analysis to identify opportunities to make Facebook’s response to abuse of its platforms measurably better
  • Work independently or partner with software engineering, data science and operations to leverage those opportunities at scale
  • Contribute to a variety of codebases across Facebook’s technical stack: Haskell, python, php
  • Be a thought leader, bring your deep understanding of online abuse and adversarial behaviours to software engineering teams, and guide teams’ overall direction
  • Be comfortable with quickly changing priorities, adversarial shifts and multiple initiatives running simultaneously
Minimum Qualifications
  • 2+ years experience doing quantitative analysis
  • BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field. Advanced degrees
  • Experience in adversarial space like financial fraud, spam, CERT
  • Experience with relational databases and SQL
  • Experience coding in at least one of the following: PHP, Python, Haskell, or Java
  • Experience working in an environment with minimal oversight, being self-driven, prioritising and executing independently
Preferred Qualifications
  • Experience working across the broader anti-abuse/security/Trust & Safety community
  • Experience investigating and acting on high-impact threats and online threat actors
  • Proven track record of managing and executing on short term and long term projects
  • Development experience in Haskell
  • Demonstrated understanding of security and integrity risks, and how they apply to Facebook 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.
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