Summary:
You'll be joining Central Security, Meta's first line of defense technology team that manages risk across critical security domains. As part of this organization, you'll work within a cross-functional team of engineers, analysts, product managers, and program managers, collaborating closely with professionals across Product, Infrastructure and Enterprise Engineering teams. You will develop automated and autonomous security systems using AI/ML in high-impact security domains including Identity and Access Management, Product Security, Threat Detection, Detection & Response. This organization operates at the intersection of cutting-edge technology and enterprise security, where you'll help shape how Meta approaches security across our entire technology stack, from custom-built systems to commercial software such as cloud services and increasingly sophisticated AI/ML systems.
Required Skills:
Software Engineer (Technical Leadership) - Central Security Responsibilities:
In this position, you'll drive security solutions that protect Meta's most critical assets while enabling rapid innovation, particularly in the AI/ML space. Your primary focus will be architecting and implementing security frameworks for large-scale AI/ML products and features, ensuring that secure-by-design principles are embedded throughout the entire AI/ML lifecycle from conception to deployment. You'll act as a Senior Individual Contributor in a combined organization of Security Engineers, Security Analysts, and Software Engineers to implement security solutions and platforms that serve the entire company and our billions of users. Your strategic thinking will be essential as you determine the highest-risk items across all security domains, then guide the team through developing detailed threat models and comprehensive solutions. A significant portion of your role involves identifying, assessing and mitigating security risks that are unique to AI/ML systems and products built on top of them - including classical ML, agentic product features, and the risks associated with frontier models. Your influence extends beyond your immediate team - you'll navigate complex tradeoffs between security requirements and operational friction, ensuring Meta can maintain its pace of innovation while remaining secure. This means representing these critical tradeoffs to senior leadership including VPs and C-levels, where your recommendations will directly influence company-wide security decisions.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience leading projects with industry-wide impact
Vast experience communicating and working across functions to drive solutions
Significant experience in mentoring/influencing engineers across organizations
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
Experience in driving large cross-functional/industry-wide engineering efforts
12+ years coding experience in C, C++, Java and/or C#
12+ years experience building server applications
Preferred Qualifications:
Preferred Qualifications:
Advanced degree in Computer Science, Security, or related field
Expertise in AI/ML security domains (e.g., threat modeling for ML systems, ML system design, secure model development, adversarial machine learning)
Hands-on experience with agentic development using Frontier AI models
Proficiency with Python and modern AI/ML frameworks
Experience with regulatory frameworks and compliance for AI/ML systems
Familiarity with Meta's technology stack or similar large-scale environments
Passion for securing cutting-edge systems that impact billions of users worldwide
Public Compensation:
$347,000/year to $403,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
