AI Specialist, Identity and Access Management (IAM)

Protecting Meta's data and workforce is an explicit top priority for the company. We are part of Security Foundations within the Cross-Meta Security team, dedicated to building and supporting the critical security components of our infrastructure.Our mission is to prevent security incidents for Meta and its users efficiently at scale.Our vision is to provide the best in class internal protection of user data and company resources by focusing on building robust and scalable identity, authentication, and access management infrastructure that addresses top risks.The TeamThe team is responsible for right-sizing access control across the company, and enforcing those access controls across all Meta services.The team is developing systems which can analyze patterns of access to company assets, make recommendations about appropriate access models, and automatically apply changes to access control at scale.The team also owns services and libraries that support authentication and authorization across Meta infrastructure. These services and libraries support roughly ~2.3B authentication events a second, and ~20B authorization checks a second. The services and libraries sit on critical paths for Messaging, GenAI, IG, WhatsApp, and most services running within Meta infrastructure.The RoleAI will change the way that we work, and how Access Management is done within Meta. This role will help bootstrap our overall ML team within the IAM space, and explore ways AI can help us right-size access throughout Meta. Areas of exploration include: Access Recommendations: Building ML models that can intelligently recommend appropriate access levels based on role, team, project needs, and security requirements. Access Review Assistance: Developing AI tools to help streamline and enhance the access review process, identifying anomalies and potential security risks.* Access Configuration Assistance: Creating intelligent systems to assist with configuring complex access patterns and permissions across Meta's infrastructure.

• Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short and medium term objectives
• Influence progress of relevant research communities by producing publications
• Establish connections with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Lead and collaborate on research projects within a team
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
• 12+ Years Experience in developing and debugging in Python, C/C++, or C#
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

• 4+ years of experience as technical lead for a project of 4 or more individuals
• Experience with interdisciplinary and/or cross-functional collaboration
• Experience bringing machine learning-based products from research to production
• Highly experience in analytical and problem-solving skills, including a basic understanding of data analysis techniques
• Good grasp of SOX, SOC2, NIST, PCI, ISO, and other security regulations
• Experience in the IAM (Identity and Access Management) domain in a cloud based infrastructure environment
• Program and project management skills