Security Engineer - Investigator (High Severity Scams)

The Integrity, Investigations, Intelligence and Events (i3E) teams at Meta are dedicated to protecting the users of our family of applications (e.g. Facebook, Instagram, WhatsApp) from a multitude of threats including: criminal organizations, human trafficking/exploitation, and scams/fraud. We are seeking an experienced security engineer to drive detection and mitigation strategy and execute large-scale, highly complex technical investigations in order to protect our users against the threat posed by threat actors who seek to run sophisticated scam operations against our users. You will have the opportunity to work on some of the most impact oriented, complicated, and high-visibility risks the company is facing.The ideal candidate will be able to execute large-scale, technically complex investigations and utilize insights gleaned to build detection/enforcement mechanisms as well as work with partner teams to drive risk mitigation through large scale prevention systems and product improvements. They must be able to extract, assimilate, and correlate a wide variety of data in order to surface, analyze, and disrupt threat actors across multiple spaces. Successful candidates must be proficient with various technical investigative skills, scripting/coding and possess an adversarial mindset. Extensive experience investigating and mitigating high-severity, sophisticated scams, preferably on large-scale platforms/products, is highly desirable, as is hands-on experience in leveraging AI for detection/harm mitigation within an adversarial space.

Security Engineer - Investigator (High Severity Scams) Responsibilities:

• Investigate sophisticated scammer behaviors to understand how abuse manifests on Meta’s platforms and the wider information ecosystem using a variety of tooling/techniques including innovative deployment of AI solutions where appropriate
• Assist in the development of the team’s long-term strategy to improve tactics, discoverability of threats, and enhance investigative efficiencies
• Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence
• Investigate complex cases to understand how abuse is occurring and implement enforcement strategies to detect/mitigate harm
• Engage cross-functionally with other teams to develop shared taxonomy, implement effective strategies to prevent and disrupt abuse at scale and represent i3E across the problem space
• Analyze and interpret large datasets to advance investigations, quantify trends, or support findings
• Take a lead role in developing and refining investigative techniques, analytic methodologies, intelligence processes, and tools
• Synthesize abuse telemetry and qualitative insights into decision-ready assessments and recommendations that drive prioritization and result in concrete mitigations across investigations, engineering, policy, and product teams
• This role involves exposure to graphic and/or objectionable content including but not limited to graphic images, videos and writings, offensive or derogatory language, and other potential objectionable material, i.e. child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing

Minimum Qualifications:

• B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience
• 8+ years of work experience in cyber security, private sector security investigations and intelligence, government, and/or intelligence
• 5+ years of experience working with Python, PHP or similar scripting languages
• 2+ years experience as technical lead or team lead in an adversarial and/or investigative space with experience driving team strategic direction
• Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Tableau, etc
• Proven track record of success in communication and presenting technical findings
• Experience investigating and acting on high-impact threats
• Experience prioritizing and executing with minimal direction or oversight
• Experience in fast-paced environments where priorities shift and change
• A combination of investigative skills and engineering skills
• Experience working with a team spanning multiple locations/time zones

Preferred Qualifications:

• Experience working with scams adversaries including in-depth understanding of common ‘top of funnel’ tactics/techniques and procedures
• Experience with link analysis/graph-style investigations (entity resolution, clustering, relationship mapping)
• Experience in assessing/deploying innovative AI driven solutions for detection/enforcement
• Experience designing and managing projects that have enterprise-wide impact and/or multi-organization cross functional stakeholders
• Experience working with a team spanning multiple locations/time zones

About Meta:

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.