Santa Clara, CA30+ days ago
End-2-end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper-parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates: Proven track record of a leadership role in machine learning, deep learning research and applications demonstrated by patents, publications, product delivery, or other means.