Summary:
Our Intelligence, Safety, and Signals team is looking for a Signals Intelligence Specialist to help analyze, detect, and disrupt networks of criminal scammers around the globe. You will enjoy working with a dedicated law enforcement-facing team within the technology sector, and have access to cutting-edge technology designed to detect nefarious online activities. This role is highly cross-functional and will be expected to work with teams across the company to identify key trends in the law enforcement space that can make the platform safer.
Required Skills:
Law Enforcement Signals Intelligence Specialist Responsibilities:
Use existing data to identify large networks of nefarious actors and activity
Regularly provide well-researched and thorough analysis on emerging trends to executive-level stakeholders and law enforcement counterparts
Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
Use existing insights, and develop an agenda to unearth new ones, to drive engagement with law enforcement or other strategies to prevent or mitigate real world harm
Support the development of pipelines and data infrastructure to support the creation of dashboards
Create analytic notebooks using artificial intelligence to empower other analysts with advanced analytics capabilities
Plan and conduct end-to-end analyses, including gathering requirements and processing and modeling data, and preparing leadership communications on emerging scam networks and archetypes
Influence cross-functional teams through presentation of data-based recommendations
Develop quantitative metrics to help surface insights from structured datasets
Develop and maintain a network of information sources that will provide compelling insights and foresight into emerging news-worthy developments
Minimum Qualifications:
Minimum Qualifications:
8+ years experience researching, investigating, and analyzing trends related to various online harms
2+ years experience developing and maintaining relational databases
Background in conducting data analysis using large databases
An understanding of programming languages underpinning our artificial intelligence work such as Python and/or SQL
Experience in threat investigation/threat intelligence work in a major government or technology company
Extensive experience in developing and delivering written and oral communications tailored to diverse audiences to analytic counterparts, technical audiences, senior leaders, and policymakers
Understanding of artificial intelligence and machine learning methods
Demonstrated ability to build partnerships with technical and non-technical counterparts across large organizations in order to solve difficult problems
Experience performing social network analysis
Preferred Qualifications:
Preferred Qualifications:
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience developing processes for sharing information and analytic insights across large organizations
Understanding of legal processes used by law enforcement agencies
Understanding of basic cyber fundamentals such as TCP/IP and the OSI Model
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience in counterterrorism or combatting organized criminal networks
Degree in computer science, computer engineering, data science, or at least 2 years of equivalent work experience
Experience working on financial fraud and scams issues
Experience using artificial intelligence systems to improve detection and enforcement of adversarial networks
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Public Compensation:
$125,000/year to $178,000/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@meta.com.
