Applied Scientist II - Machine Learning

Job Title: Applied Scientist II - Machine Learning Company: Microsoft Job Category: Machine Learning Roles & Responsibilities: Responsibilities * Advance 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. * Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. * Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting\-edge AI into real\-world applications. * Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. * Define success: Measure success metrics that reflect platform and product growth. * Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required. Work Location: Hyderabad, Telangana, India Availability: Full time

Microsoft 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. We’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. Qualifications Required/Minimum Qualifications: * Bachelor'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). + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. + OR equivalent experience. Preferred Qualifications * Bachelor'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). + OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field) related experience (e.g., statistics, predictive analytics, research). + OR equivalent experience. Key Skills: Machine Learning, Python Salary: Not disclosed