
Senior Machine Learning Infrastructure Engineer, Embedding Platform
Expect to own end-to-end ML components for recommendation and personalization: model design, data preparation, training, evaluation, and production deployment. Role emphasizes distributed training and inference, sequence and foundation-model techniques, low-latency/high-throughput serving, monitoring, and A/B-driven evaluation.













