Machine Learning Infrastructure Engineer

Design and scale the infrastructure that powers AI/ML and self-hosted large language model applications across critical Whatnot surfaces like recommendations, trust & safety, fraud, and seller tooling. Build low-latency, high-throughput inference and distributed training pipelines using GPUs and model/data parallelism. Prototype and productionalize novel ML architectures in partnership with machine learning scientists, ensuring dependable performance at consumer-scale loads.