{"id":3611989,"url":"https://alion.io/job/microsoft-applied-scientist-ii-machine-learning","title":"Applied Scientist II - Machine Learning","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":83,"open_postings":380,"ghost_share":0.003,"stale_share":0.655,"repost_share":0.018,"time_to_fill_p50_days":29,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Encoder-Decoder","optional":false},{"name":"Machine Learning","optional":false},{"name":"Semantic Search","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-22T14:01:54Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T18:41:35Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"OverviewAre you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at the Copilot Search & Agents team we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe.\nMicrosoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios.\nWe’re looking for an Applied Scientist II with deep expertise in applied AI and a solid track record of delivering products built using ML models at scale. The candidate should have hands on experiences with building machine learning models over large scale data. This is a unique opportunity to build the next generation search stack in Microsoft.\nYou’ll join a fast-paced, collaborative environment that brings together talent from across Microsoft-including Microsoft Research-to push the boundaries of what’s possible with State of the Art SLMs, Deep Neural Nets , Embedding Models as well as classical Gradient Boosted Tree (GBT) models.\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.\nResponsibilities\nAdvance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like encoder-decoder models, cross-encoder models. You would also be working with Language models to understand user intent and developing a semantic search stack optimizing for the various search intents. You will be working with large scale data and derive insights out of it while championing Privacy and Compliance. \nDrive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. \nCollaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications. \nChampion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. \nDefine success: Measure success metrics that reflect platform and product growth. \nStay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required. \nQualifications\nRequired/Minimum Qualifications:\nBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research).\nOR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.\nOR equivalent experience.\n\nPreferred Qualifications:\nBachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research).OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).\nOR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field) related experience (e.g., statistics, predictive analytics, research).\nOR equivalent experience. \n\n3+ years of Python coding skill. \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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