Software Engineer, AI Specialist - Monetization; Technical Leadership
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-09-30
Listing for:
Meta Careers
Full Time
position Listed on 2026-09-30
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below
- Monetization (Technical Leadership)
Sunnyvale, CA+2 locations
Artificial Intelligence+ 1 more Apply nowMeta is seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta's family of apps.
You will identify and solve the hardest AI engineering challenges in the organization, set technical standards that span multiple teams, and leverage AI as a force multiplier to unlock capabilities previously considered intractable. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that power Meta's AI future.
---## Software Engineer, AI Specialist
- Monetization (Technical Leadership) Responsibilities
* Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
* Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
* Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
* Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
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