{"id":2963229,"url":"https://alion.io/job/microsoft-principal-applied-scientist-ads-monetization","title":"Principal Applied Scientist-Ads Monetization","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":471,"ghost_share":0.006,"stale_share":0.597,"repost_share":0.04,"time_to_fill_p50_days":29,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142800,"max":274800,"currency":"USD","period":"year","gross":null,"usd_annual":274800},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-09-17T19:17:19Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T19:33:01Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":53},"description":"OverviewJoin Microsoft Monetization to build the future of AI-powered monetization and shape how people discover, choose, and engage with products, services, and brands across Microsoft’s most innovative experiences.\nMicrosoft Monetization is building the next generation of AI-powered advertising and commerce experiences across Search, Shopping, Copilot, and emerging agentic surfaces. As conversational agents increasingly become the interface between users and businesses, we are reimagining how products, services, and ads are discovered, selected, personalized, and delivered.\nExplore opportunities across our teams and find the role where your expertise can make the greatest impact.\nMicrosoft Search and Audience Network (MSAN)-Principal Applied Scientist\nIn this role you will:\nSet the science vision and technical strategy for relevance and ranking, user data and intent understanding, personalization, recommendation, and agent-driven commerce.\nLead across multiple science areas, influence architecture, research investments, model roadmaps, and execution strategy, and remain deeply hands-on in advancing machine learning innovation\nRelevance and Ranking-Principal Applied Scientist\nThis team builds and improves machine learning models that directly shape the customer experience.\nIn this role you will:\nconnect model performance to real-world impact by analyzing product and user data,\nunderstand how people interact with the system\nidentify opportunities to elevate the experience and iterate quickly with product and engineering partners.\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\nAI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.\nResponsibilities\nServe as the technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences.\nDrive innovation in machine learning technologies including LLMs, SLMs, multimodal AI, retrieval, ranking, personalization, and recommendation systems.\nDefine and execute the science roadmap for user intent understanding, product understanding, content relevance, and advertiser matching.\nLead end-to-end ML development, including model architecture, training data strategy, evaluation, experimentation, calibration, and production deployment.\nPartner with engineering and product teams to deliver scalable, reliable, and cost-efficient AI systems.\nShape the technical vision for future agent experiences, conversational shopping, and AI-assisted commerce scenarios.\nDrive measurable improvements in customer satisfaction, engagement, relevance quality, and business outcomes.\nMentor scientists and engineers while raising the technical bar across machine learning, experimentation, and scientific rigor.\nQualifications\n Required Qualifications:\nBachelor'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)\nOR 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)\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)\nOR equivalent experience.\nPreferred Qualifications:\nMaster's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)\nOR equivalent experience.\nExtensive experience building and shipping large-scale machine learning systems in search, recommendation, ranking, advertising, commerce, conversational AI, or personalization.\nDeep expertise in modern machine learning, including deep learning, transformers, representation learning, retrieval systems, recommendation systems, and foundation models.\nDemonstrated experience serving as a technical lead for large-scale cross-organizational initiatives.\nProven ability to translate research innovations into production systems with measurable business impact.\nExperience with LLMs, SLMs, multimodal AI, and agentic systems.\nExperience in advertising, e-commerce, shopping, recommendation, or marketplace ecosystems.\nExperience developing AI-powered assistants, commerce experiences, or personalization platforms.\nExperience optimizing distributed training and inference systems on large GPU clusters.\nExperience mentoring principal-level engineers, scientists, and technical leaders.\n\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\nApplied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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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Docs: https://alion.io/developers"}}