ML Engineer, Generative Video

Build and scale systems powering video generation models, working on novel modeling approaches, training objectives, and inference optimization. Drive improvements in ultra-low-latency, real-time generation by optimizing training and inference efficiency (memory, latency, cost). Implement acceleration techniques like distillation, quantization, and pruning, and maintain distributed training systems. Translate research models into production-ready systems and monitor real-world performance.