Signals Intelligence Specialist

Meta; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Signals Intelligence Specialist to analyze, detect, and disrupt networks of criminal scammers worldwide. You will join a law enforcement–facing team and work with cutting‑edge technology to detect nefarious online activities.

The role requires deep experience in intelligence analysis and data science to derive strategic insights from large data sets. The ideal candidate will have 8+ years researching online harms, 2+ years managing relational databases, and strong skills in

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.
• Experience delivering written and oral communications to analytic counterparts, technical audiences, senior leaders, and policymakers.

Responsibilities

• Work with cross-functional teams across the company to identify key trends in law enforcement space that improve platform safety.
• Analyze large networks of nefarious actors and derive strategic insights from quantitative datasets.

Skills

Intelligence analysis

Data analysis

Relational databases

Python

SQL

Threat investigation

Social network analysis

AI/ML concepts

Education

Degree in computer science / computer engineering / data science

Tools

Python

SQL

Job description

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. 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 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 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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience using artificial intelligence systems to improve detection and enforcement of adversarial networks Understanding of legal processes used by law enforcement agencies Experience developing processes for sharing information and analytic insights across large organizations 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 Understanding of basic cyber fundamentals such as TCP/IP and the OSI Model Experience working on financial fraud and scams issues 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