Senior Applied Scientist

Develop and improve AI models, prompting strategies, retrieval pipelines, and evaluation methods for Word Mobile and Word Copilot scenarios spanning document creation, authoring, comprehension, editing, and collaboration. Design grounded experiences that use Work IQ signals—including documents, meetings, emails, chats, people, and organizational context—while respecting permissions, security, compliance, and responsible AI requirements. Build mobile-first Copilot experiences for drafting, rewriting, summarizing, explaining, structuring, and refining content, while preserving the precision, trust, and rich document semantics expected from a world-class word processor. Create rigorous offline and online evaluations for quality, grounding, safety, latency, reliability, and user satisfaction; investigate failures through solid problem-solving and debugging practices and translate findings into model and product improvements. Use customer feedback, product telemetry, service monitoring, and experimentation results to identify emerging authoring needs, validate hypotheses, and prioritize high-impact improvements for Word and mobile workflows. Communicate scientific insights clearly, contribute to design and architecture reviews, grow shared team knowledge, influence cross-functional decisions, and create reusable methods, publications, patents, or technical artifacts where appropriate. Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, machine learning, or applied research). OR Master's Degree in a related field AND 7+ years related experience. OR Doctorate in a related field AND 6+ years related experience. OR equivalent experience. Solid programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch. Experience developing, adapting, or evaluating large language models, multimodal models, retrieval-augmented systems, or agentic AI applications. Demonstrated success translating applied research into reliable production services, including experimentation, evaluation, debugging, and performance optimization. Publication record or significant industry impact in natural language processing, multimodal AI, human-AI interaction, information retrieval, or machine learning. Experience building grounded AI systems over enterprise or user-context data, including retrieval quality, citations, permission-aware access, safety, and responsible AI considerations. Experience with mobile or cross-platform product constraints, online experimentation, telemetry analysis, and quality measurement for customer-facing AI experiences. Solid collaboration and technical leadership skills, with a growth mindset, customer focus, and commitment to inclusive product development.