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 well-established law enforcement-facing team within the technology sector, and have access to cutting-edge technology designed to detect nefarious online activities. The ideal candidate will have a background in intelligence analysis, experience conducting various forms of data analysis on large networks of nefarious actors, as well as experience in deriving strategic-level insights from quantitative datasets.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.
- Use existing data to identify large networks of nefarious actors and activity
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Regularly provide well-researched and thorough analysis on emerging trends to executive-level stakeholders and law enforcement counterparts
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Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
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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
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Support the development of pipelines and data infrastructure to support the creation of dashboards
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Create analytic notebooks using artificial intelligence to empower other analysts with advanced analytics capabilities
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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
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Influence cross-functional teams through presentation of data-based recommendations
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Develop quantitative metrics to help surface insights from structured datasets
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Develop and maintain a network of information sources that will provide compelling insights and foresight into emerging news-worthy developments
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8+ years experience researching, investigating, and analyzing trends related to various online harms
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2+ years experience developing and maintaining relational databases
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Background in conducting data analysis using large databases
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An understanding of programming languages underpinning our artificial intelligence work such as Python and/or SQL
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Experience in threat investigation/threat intelligence work in a major government or technology company
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Experience developing and delivering written and oral communications to analytic counterparts, technical audiences, senior leaders, and policymakers to analytic counterparts, technical audiences, senior leaders, and policymakers
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Understanding of artificial intelligence and machine learning methods
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Demonstrated ability to build partnerships with technical and non-technical counterparts across large organizations in order to solve difficult problems
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Experience performing social network analysis
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Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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Experience using artificial intelligence systems to improve detection and enforcement of adversarial networks
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Understanding of legal processes used by law enforcement agencies
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Experience developing processes for sharing information and analytic insights across large organizations
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Degree in computer science, computer engineering, data science, or at least 2 years of equivalent work experience in computer science, data science, or a related technical field
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Understanding of basic cyber fundamentals such as TCP/IP and the OSI Model
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Experience working on financial fraud and scams issues
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Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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Experience in counterterrorism or combatting organized criminal networks
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.
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.
