Responsibilities
Lead the GPU AI Systems Co-Design Team responsible for driving Meta's Ads model scalability moving forward Analyze trends and insights in Training and Inference workloads across Ads Ranking use-cases to inform strategic decisions Leverage the team's technical expertise to pioneer innovative projects that significantly improve AI performance and efficiency at scale Collaborate cross-functionally across ML, hardware, infrastructure, software and data science teams to drive engineering efforts Build and scale a high-caliber team of engineers, drive recruitment, career growth, performance management, and strategic goal-setting
Qualifications
A Master of Science in Computer Science or related fields, with 4+ years of management experience Technical depth in: AI Training and Inference workloads, GPU Systems Architecture, Hardware/Software Codesign Demonstrated experience in leading technical teams working on Artificial Intelligence/Machine Learning systems and related domains Proven track record of managing complex, large-scale programs and navigating the broad, interdisciplinary aspects of such projects Demonstrated interpersonal skills and capacity to achieve results through cross-functional collaboration and leadership A PhD in Computer Science or related fields with a demonstrated track record of research publications in AI/ML systems and related domains Capacity to effectively communicate with and influence executive leadership and decision makers Familiarity with ML architecture design and advanced technology, including quantization, knowledge distillation, foundational modeling
