Overview
Lead development of machine learning and AI solutions for Meeting Intelligence in Copilot Define evaluation methodologies, quality metrics, and measurement frameworks for AI-powered meeting experiences. Establish scientific approaches for assessing relevance, accuracy, grounding, consistency, trustworthiness, and user value. Drive experimentation strategies and data-driven decision making through online and offline evaluation. Influence product strategy through deep analysis of user behavior, product outcomes, and AI quality signals. Partner with Engineering, Product Management, Design, Research, and Responsible AI teams to bring innovations into production. Advance techniques in natural language understanding, retrieval, reasoning, and contextual intelligence to improve experience quality. Mentor senior scientists and help define best practices for machine learning experimentation, meas
Full job description
Full Job Description
Lead development of machine learning and AI solutions for Meeting Intelligence in Copilot Define evaluation methodologies, quality metrics, and measurement frameworks for AI-powered meeting experiences. Establish scientific approaches for assessing relevance, accuracy, grounding, consistency, trustworthiness, and user value. Drive experimentation strategies and data-driven decision making through online and offline evaluation. Influence product strategy through deep analysis of user behavior, product outcomes, and AI quality signals. Partner with Engineering, Product Management, Design, Research, and Responsible AI teams to bring innovations into production. Advance techniques in natural language understanding, retrieval, reasoning, and contextual intelligence to improve experience quality. Mentor senior scientists and help define best practices for machine learning experimentation, measurement science, and AI quality evaluation. Drive cross-organizational alignment on scientific priorities, evaluation standards, and AI quality investments. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Deep expertise in:Large Language Models (LLMs), Natural Language Processing (NLP), Information Retrieval (IR), Retrieval-Augmented Generation (RAG, Conversational AI, Knowledge Representation, Machine Learning for Language and Productivity Applications, Strong background in experimentation, Causal inference, statistical analysis, and measurement science. Experience building and evaluating AI-powered products in production environments. Proficiency in Python and modern machine learning frameworks such as PyTorch or TensorFlow. Experience working with cloud-scale AI services and distributed systems. 9+ years of experience in Data Science, Applied Machine Learning, Artificial Intelligence, or related disciplines. Proven track record of driving significant product impact through large-scale AI and machine learning systems. Experience developing evaluation systems for generative AI and agent-assisted user experiences. Background in conversational understanding, speech and language technologies, or human-AI interaction. Publications in leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, WWW, SIGIR, or related venues. Track record of patents, technical thought leadership, and industry-recognized innovation. Experience leading broad scientific initiatives spanning multiple teams and disciplines.
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