Research, design, implement, and evaluate models to advance personalized query understanding, user intent resolution, retrieval, and ranking Apply natural language processing, deep learning, and large language model techniques to deliver grounded, contextually relevant responses Analyze performance gaps in current search and assistant systems, and develop algorithms and techniques to improve model quality and key product outcomes Define long-term technical vision, propose roadmaps, and set measurable objectives for the team Collaborate with cross-functional partners to define product requirements, establish evaluation metrics, and maximize user satisfaction4 or more years of experience in machine learning, natural language processing, or computer vision, applied at scale Production software engineering experience with Python, Go, C/C++, Swift, or Objective-C Strong communication and collaboration skills Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Physics, Mathematics, or a related fieldAdvanced degree (Masters or Ph. In this role, you will incorporate cutting-edge research in Large Language Models (LLMs), Natural Language Understanding (NLU), and machine learning inference optimization to deliver fast, power-efficient ML solutions to complex query understanding problems.