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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. AI 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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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