10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems Experience leading end-to-end ML system design, from data architecture to model deployment Proficient in Python and ML frameworks, including PyTorch and XGBoost Experienced with ML tooling for training orchestration, experimentation, and model monitoring Strong understanding of representation learning and embedding-based modeling Deep expertise in neural network-based sequence modeling, including Transformers Deep hands-on experience with large-scale distributed ML infrastructure Strong verbal and written communication skills