Software Engineer, Infastructure - Integrity

Meta is seeking experienced engineers to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors.

This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is the right role for you.

8+ years of programming experience in a relevant language OR 4+ years experience with a PhD Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Programming experience in a relevant language

Demonstrated experience driving change within an organization and leading complex technical projects

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions 6+ years relevant experience building large-scale infrastructure applications or similar experience

Experience working on adversarial problems where bad actors actively adapt to countermeasures

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Experience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at a consumer scale

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in trust and safety, risk, fraud, security, or regulated domain engineering

Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Java script, or Hack Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)