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Security Engineer Investigator, Anti-Scraping at Facebook (Menlo Park, CA)

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Are you interested in solving complex problems that are geared towards improving the privacy of people using Facebook's family of apps? Do you have an adversarial mindset and are excited about investigating and analyzing potential threat? Come join us at Facebook! 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.

<ul><li>Use your extensive domain knowledge of Scraping and Bot detection to proactively detect automated abuse against our platform</li><li>Uncover insights into network traffic (web or mobile) if there are automated attacks against our servers/products</li><li>Develop tools to combat scraping</li><li>Apply your knowledge in quantitative business analysis, data mining, and the presentation of data to identify trends and opportunities in investigating and blocking scraping</li><li>Analyze and interpret data on which to devise hypotheses</li><li>Create investigation reports that clearly communicate issues and risks from both a technical and business perspective</li><li>Implement effective countermeasures to stop scraping based on these identified patterns</li><li>Contribute to Facebooks anti-abuse codebase in PHP, Python, and Haskell</li><li>Be a thought leader for data-informed initiatives and guide the teams overall direction</li><li>Partner with Data Science, Product, Engineering, and Operations teams to solve problems at scale</li><li>Work effectively with our partners in Legal and eCrime to investigate scrapers and scraping activities</li><li>Work with internal teams to understand what happens with exfiltrated data</li><li>Partner with internal teams to help shape and inform bot detection technology</li></ul>

<ul><li>3+ years of experience in the adversarial space working on Scraping</li><li>Understanding of Network traffic, Bot Detection and Mitigation</li><li>2+ years of experience doing quantitative analysis</li><li>Understanding of how HTTP and API requests are utilized</li><li>Understanding of how Browsers and Mobile Apps operate</li><li>Experience querying large data sets and SQL</li><li>Experience with programming languages such Haskell, Java, C++, Perl, Python, PHP</li><li>Experience working independently and as a member of a cross-functional team</li><li>Experience summarizing and communicating technical data to a non-technical audience</li><li>Demonstrated communication skills</li><li>Attention to detail and experience creating high quality work products suitable for executive-level review</li></ul>

<ul><li>BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field</li><li>Experience contributing to the security community (open source, academic research, industry research, blogs, presentations, etc.)</li></ul>

Facebook is proud to be an Equal 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.Facebook 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

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