Staff Software Engineer - Video ML Foundations team

The Video ML Foundations team optimizes video ranking infrastructure to balance latency, cost, and freshness for an optimal user experience. We drive diverse initiatives, including co-designing ranking models and systems, accelerating model training, optimizing GPU inference, and building funnel infrastructure and elastic compute. We are looking for candidates with an infrastructure background eager to apply systems and optimization methodologies to ranking systems. Our core focus is advancing state-of-the-art AI, ML, and RecSys technologies—spanning ranking, retrieval, model architecture, and optimization—to achieve long-term product goals.