Are you interested in solving complex problems that are geared towards improving the privacy of people using Meta's family of apps? Do you have an adversarial mindset and are excited about investigating and analyzing potential threats? Come join us! The Anti-Scraping team is looking for someone who loves reimagining what's possible when it comes to detecting, researching, and disrupting attackers by investigating entities and analyzing data to uncover patterns of automated abuse. The team provides actionable insights upstream and works with our engineering teams to constantly implement solutions at scale through better automation strategies to make the internet a safer place for all. 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 ideal candidate will have a background in a quantitative field as well as IT security, bot detection/mitigation, scraping etc. The candidate 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.
Investigate complex cases using a variety of methodologies (on and off platform) to understand how abuse is occurring and attribute the entity(ies) responsible. Identify enforcement strategies to mitigate harm both in the current case and from similar forward-looking abuse. Document findings in detailed, concise, and comprehensive reports.
Engage cross-functionally with other analytic and investigative teams within the company to develop best practices for conducting investigations, training, and tracking and reporting on investigation trends to the team and supporting legal and technical enforcement actions against bad actors.
Manage multiple simultaneous investigations, contribute to scaling the team, growing and supporting other investigators, and drive tooling and investigative technique improvements.
Drive development of strategy in investigations to improve tactics, discoverability of threats, and enhance efficiencies.
Proactively look for currently undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
Drive and lead exploration of the scraping ecosystem, understand the scraping enabled business models, and the most significant risks and harms of scraping to users.
Minimum Qualifications:
5+ years of investigative experience conducting technical and non-technical investigations of online threats and abuse.
3+ years experience writing complex SQL queries to drive analysis and insights
3+ years experience conducting OSINT and attribution investigations.
Preferred Qualifications:
Experience with, and exposure to, Linux/Unix environment, PHP, Python, Java, or other programming/scripting languages, TCP/IP protocol stack, and a variety of operating systems.
Experience applying data analytics to security risk analysis and investigations
Adversarial mindset and understanding how threat actors manifest on the internet
Experience summarizing and communicating technical data to a non-technical audience
Experience with network analysis
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$137,000/year to $196,000/year + bonus + equity + benefits
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.
