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Tier-1 brand and metro presence, but senior niche ML role yields medium competition.
LLM, conversational AI, and enterprise grounding require domain-specific expertise, making background fit highly sensitive.
Explicit years, heavy ML/LLM requirements, and security screening enforce high shortlisting strictness.
Lead development and evaluation of AI and machine learning solutions for Meeting Intelligence in Copilot, including defining methodologies and quality metrics.
Drive experimentation, data-driven decision making, and influence product strategy through analysis of user behavior, product outcomes, and AI quality signals.
Collaborate with cross-functional teams and mentor senior scientists while advancing techniques in NLP, retrieval, and contextual intelligence to improve AI meeting experiences.
Bachelor's degree in related field with 6+ years experience OR Master's degree with 4+ years OR Doctorate with 3+ years related experience in statistics, predictive analytics, research or equivalent.
Expertise in Large Language Models (LLMs), NLP, Information Retrieval, Retrieval-Augmented Generation, Conversational AI, Knowledge Representation, Machine Learning for language/productivity.
Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow; experience with cloud-scale AI services and distributed systems.
Ability to pass Microsoft Cloud background check and meet security screening requirements.
Senior-level data scientist with 9+ years in applied machine learning or AI driving impactful, large-scale product solutions especially in generative AI and agent-assisted user experiences.
Strong expertise and publication record in conversational understanding, speech/language technologies, human-AI interaction and evaluation systems for AI products.
Experience leading cross-team scientific initiatives, with recognized thought leadership including patents and industry innovation.