AI Efficiency Software Engineering Manager

We are the Monetization Capacity, Efficiency and Hardware Co-Design Organization. We are part of Monetization Infra, which is responsible for all of Meta Ads Revenue (98% of all Meta Revenue). Our org has been specifically formed to address the biggest challenge facing Meta today - the lack of machine resources needed to empower our Ads, ML and AI platforms to unblock new revenue opportunities for Meta. Our work is a top priority for the Monetization org and for the broader company, with C-suite level visibility and aggressive funding to address the issue. We work on ML Inference and Training projects across the Monetization infra services improving efficiency across next generation AI Hardware MTIA, Nvidia, and AMD accelerators. This spans across: model co-designing, low level optimizations, distributed system, and data infrastructure.

AI Efficiency Software Engineering Manager Responsibilities:

• Land massive impact by working on business critical Machine Learning Inference and training systems to enable top company and Monetization priorities and accelerate Revenue Growth for the company
• Collaborate with cross-functional teams to drive technical innovation and proven experience
• Working on both 0->1 as well as mission critical scaled systems in the Advertising Infrastructure stack
• You will have the opportunity and scope for faster career growth through working on projects that impact the company’s topline in an organization with planned growth for the next several halves
• Foster a work environment of continuous learning, growth, and improvement

Minimum Qualifications:

• Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
• 12+ years, or PhD + 8 years, of software engineering work experience, including technical management
• BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
• 2+ years managing managers, 5+ years managing technical teams

Preferred Qualifications:

• Expertise in large model Training and Optimization for Ads recommendation systems
• Experienced in launching a new AI accelerator with focus on efficiency improvements at scale
• Experience in the areas of Performance optimizations and Reliability
• Interest in making AI Systems more efficient

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.