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The Teams Search Intelligence Team builds largescale machine learning systems that power relevance and personalization across Microsoft Teams Search and zeroquery experiences. Affinity models learn from user engagement signals to predict relevance for people, conversations, channels, and content—helping millions of users quickly find what matters most. As a Senior Applied Scientist, you will design, develop, and evolve applied ML models and evaluation frameworks that directly influence ranking and discovery experiences at global scale. You will work in a fastpaced, highly collaborative environment with engineers, product managers, and partner science teams to translate stateoftheart research into reliable, productionready systems that deliver clear customer and business value.
Job Responsibility:
Solve complex relevance and ranking problems using applied machine learning and statistical methods
Design, train, evaluate, and improve ML models and signals that power search and personalized discovery experiences
Integrate scientific methods into the product lifecycle, including offline evaluation, metric design, and online experimentation
Write productionquality code and apply strong debugging, validation, and reliability practices in largescale ML systems
Collaborate closely with software engineers, product managers, designers, and partner science teams to drive endtoend impact from research to production
Mentor and guide colleagues without formal research backgrounds on ML best practices, experimentation, and evaluation
Share learnings and results through design reviews, internal presentations, and external publications or patents where appropriate
Requirements:
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 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
6+ years of experience in predictive analytics, statistical modelling, or applied ML, including data preparation and evaluation
Experience with synthetic data generation and data management for evaluation/training
Proficiency in English with solid cross functional collaboration and communication skills
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Experience working with largescale, production ML systems in search, ranking, or recommendation domains
Exposure to large language models (LLMs) or generative AI techniques applied in practical product scenarios
Experience publishing peer reviewed papers or patents