{"id":4288797,"url":"https://alion.io/job/microsoft-seniorprincipal-applied-scientist-coreai","title":"Senior/Principal Applied Scientist - CoreAI","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":521,"ghost_share":0.01,"stale_share":0.568,"repost_share":0.05,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","Mountain View, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119800,"max":234700,"currency":"USD","period":"year","gross":null,"usd_annual":234700},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-12T17:41:11Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T22:32:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"OverviewMicrosoft’s Enterprise customers have a challenge - they need the tools to build agentic experiences over public and private knowledge. The Azure AI Knowledge team is leading the way to deliver the next chapter of agentic retrieval through Foundry IQ Knowledge bases to bring together many sources of structured and unstructured enterprise data and transform it into knowledge. We are continuously developing and deploying new capabilities to meet the demands of complex queries that require reasoning and reflection to deliver high-quality results. Our customers span many different industries, corpus sizes and scenarios, and our work includes multiple aspects, such as:\nDeveloping LLM prompts, agents and query execution workflows, often with tight latency constraints\n\nCollection, generation and filtering of training and evaluation data\n\nBuilding off state of the art techniques from across Microsoft and the industry\n\nUse of AI coding patterns to parallelize and accelerate experimentation\n\nYou can follow our progression from better search, to RAG, to agentic retrieval:\nAzure AI Search: Outperforming vector search with hybrid retrieval and ranking capabilities - Microsoft Community Hub\n\nRaising the bar for RAG excellence: introducing generative query rewriting and new ranking model\n\nUp to 40% better relevance for complex queries with new agentic retrieval engine\n\nFoundry IQ: boost response relevance by 36% with agentic retrieval | Microsoft Community Hub\n\nFoundry IQ: Improve recall by up to 54% with knowledge bases | Microsoft Community Hub\n\nAs a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our mission to empower every person and every organization on the planet to achieve more. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company with teams like M365, Bing and Microsoft Research.\nA major aspect of this role is to push our development of knowledge retrieval to the frontier. This requires a capable individual who can leverage multiple coding agents to explore new techniques and bring them to production at scale.\nIf you are passionate about working on the latest and hottest areas in Artificial Intelligence, Machine Learning, and data science, all the while making search better for customers across the world, then this is the team you’re looking for!\nResponsibilities\nDrive the state of the art research incorporation into techniques shipped to production.\n\nProactively develop and build metrics to use across the full range of search engine components.\n\nSeek out and incorporate customer feedback into dataset construction, evaluation, and technique development.\n\nDrive technical excellence and contribute to experimentation infrastructure and proofs-of-concept using AI coding agents.\n\nAdvances the quality of the team’s experimental codebase to ensure experiments are efficient and repeatable.\n\nNurtures collaborative relationships with product management, engineers, and other functions across products.\n\nDrive clear and efficient plans, documents, and communication\n\nQualifications\nRequired Qualifications\nBachelor'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) \nOR 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) \nOR equivalent experience. \n\nOther Requirements\nAbility to meet Microsoft, customer and/or government security screening requirements is required for this role. These requirements include, but are not limited to, the following specialized security screenings:\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.\n\nPreferred Qualifications\nMaster's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. \n3+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. \nExperience with agentic coding systems, including scaffolding for long-running agents. \nStrong hybrid collaboration skills, with clear async/sync communication and teamwork. \nExperience defining task-specific metrics and evaluation datasets. \nCustomer-focused and execution-driven, with strong ownership and bias for action. \nStrong problem-solver, comfortable with novel, open-ended problems. \nApplied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nApplied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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