• Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging. • Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality. • Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage. • Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement.