Software Engineer, Infastructure - Central Integrity

Meta; Menlo Park (CA); On-site; USD 250,000 - 350,000; Full time

Job summary

Meta is seeking experienced engineers to join our Central Integrity team to build large-scale systems that detect and disrupt harm on our platforms. You will work on AI-driven safety challenges at a global scale, protecting billions of people while advancing cutting-edge defense mechanisms.

You will design and deploy infrastructure for abuse detection, classification, and enforcement, collaborating with research and product teams to deliver measurable impact and responsible AI practices.

Qualifications

• 8+ years of programming experience in a relevant language or 4+ years with a PhD in CS, CE, or related field, or equivalent practical experience
• 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
• Experience in trust and safety, risk, fraud, security, or regulated domain engineering
• Programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack
• Demonstrated ongoing AI skill development and adherence to responsible, ethical AI practices

Responsibilities

• Develop and deploy scalable integrity systems for abuse detection and enforcement
• Collaborate across teams to combat fraud and safety harms at consumer scale

Skills

C/C++/Java

Python/JavaScript/Hack

AI integration

Trust and Safety

Adversarial risk

Large-scale infrastructure

Code reviews/testing

Data-driven problem solving

Enforcement systems

Ethical AI practices

Education

PhD in CS/CE or related field

Job description

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 PhDBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceProgramming experience in a relevant languageDemonstrated experience driving change within an organization and leading complex technical projectsExperience 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 experienceExperience working on adversarial problems where bad actors actively adapt to countermeasuresExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesExperience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at a consumer scaleDemonstrated 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 engineeringExperience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or HackDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience 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)