Summary:
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.
Required Skills:
Integrity Science Engineer Responsibilities:
Apply expertise in quantitative analysis, and data mining to identify trends and opportunities to drive down online inauthentic behaviors on Meta's products
Analyze and interpret large scale data in order to devise hypotheses on how adversarial behaviors are proliferating and to understand key anomalous patterns of these malicious actors
Lead in-depth technical investigations from start-to-finish and effectively communicate actionable results to different audience types
Develop and implement new countermeasures to stop abuse, including leveraging and building statistical/machine learning models and rule-based approaches
Work closely with related teams to identify novel sources of abusive behavior and take action to stop this abuse
Minimum Qualifications:
Minimum Qualifications:
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 making data-backed decisions that influence the team and organization
Experience distilling complex and technical information to be shared with many different audience backgrounds
Experience coding in at least one of the following: PHP, Python, Haskell, or Java
5+ years experience doing quantitative analysis
Preferred Qualifications:
Preferred Qualifications:
Experience prioritizing 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 Facebook and its users
Public Compensation:
$147,000/year to $208,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.
