
Software Engineer, Infrastructure (Technical Leadership)
Required skills
- Central Integrity
- AI
- child and youth safety
- fraud and scams
- identity and authenticity
- frontier threats
- autonomous AI agents
- automated risk vectors
- performance and scalability issues
- technical debt
Nice to have
- optimize/redesign workflows
- efficiency gains
- quality improvements
- code reviews
- proper rollout
Role summary
Meta's Central Integrity team is seeking Principal Engineers to develop and deploy AI-driven systems that combat harm on their platforms at a global scale. This role involves safeguarding areas like child safety, fraud, and identity, while defending against novel threats. The position requires strong engineering fundamentals, cutting-edge AI knowledge, and the ability to drive technical direction, long-term roadmaps, and cross-functional initiatives. The ideal candidate will have extensive programming experience, a proven track record in large-scale systems, and the ability to influence executive stakeholders and mentor teams. Experience with AI integration, ethical AI practices, and programming languages like C++, Java, or Python is highly valued.
Responsibilities
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
- Effectively communicate complex features and systems in detail
- Understand industry and company-wide trends to help assess and develop new technologies
- Partner and collaborate with organization leaders to help improve the level of performance of the team and organization
- Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas
- Lead long-term technical vision and roadmap for large cross-company efforts
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of programming experience in a relevant language or 8+ years of experience with a PhD
- Experience mentoring/influencing executive stakeholders across organizations
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
- Experience driving large cross-functional, industry-wide engineering efforts
- Experience communicating and working across functions to drive solutions
- Proven track record of planning multi-year roadmaps in which short-term projects ladder to the long-term mission
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 8+ years relevant experience building large-scale infrastructure applications or similar experience
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, JavaScript, or Hack
$219,000/year to $301,000/year + bonus + equity + benefits
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