**Summary:**
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.
**Required Skills:**
Software Engineer - Video ML Foundations team Responsibilities:
1. Develop and implement large-scale model architectures, leveraging model scaling and optimization techniques
2. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co...