Applied Scientist II

Overview Are you an applied scientist interested in leveraging advanced AI technologies to enhance Office products across all devices and platforms? We invite you to join the OSSE ML team, where we are transforming Office products and developing large-scale machine learning solutions. Based in Noida, our mission is to advance the capabilities of machine learning in order to create user experiences that are both effective and inclusive, enabling Microsoft customers to fully realise the value of our offerings.As an Applied Scientist II within the OSSE ML team, you will operate in a dynamic environment and collaborate with teams across Microsoft, including Microsoft Research and various product groups. You will have opportunities to develop sophisticated models and contribute to premier user experiences within the shared Office product infrastructure. This position plays a pivotal role in fostering innovation and delivering modern, inclusive, and intelligent solutions used by millions globally.Microsoft is committed to empowering individuals and organisations worldwide to achieve their potential. Our employees unite with a growth mindset, striving to innovate, enable success for others, and work collaboratively toward common objectives. We continually uphold our core values of respect, integrity, and accountability, cultivating a culture of inclusion that supports everyone’s ability to thrive both professionally and personally. Microsoft’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. Qualifications Required 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. Proficiency in Python and relevant ML libraries (e.g., PyTorch).  Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen).  Technical background in coding and design, specifically in the development of AI models for scaled production services. Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development. Preferred Qualifications: Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms. Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members. Grounded in growth mindset, and advocate for diversity and inclusion. Customer obsessed and passionate about product impact. Responsibilities You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers.  You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people’s lives. You will work with engineering partner teams on the model integration/flight/maintenance. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect