Senior Applied Scientist

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications Do you have a strong background in natural language processing generative AI and engineering If so we are looking for a Senior Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office In this role you will drive cutting-edge projects contribute to the Copilot ecosystem and help shape the Agentic future with one of the most widely used software products in the world 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 Responsibilities Applied Research Development Design and implement machine learning models and algorithms that improve search summarization and content understanding in Office applications Stay current with advancements in NLP and generative AI to inform product innovation Model Development Deployment Build and optimize ML DL models using frameworks like PyTorch or TensorFlow Contribute to the deployment of models in production environments ensuring scalability and performance Cross-Functional Collaboration Work closely with engineering product and research teams to define goals align on priorities and deliver impactful features Translate business needs into technical solutions Experimentation Evaluation Conduct experiments to evaluate model performance analyze results and iterate on solutions Use data-driven insights to improve precision recall and user satisfaction Innovation Impact Explore new signals data sources and modeling techniques to enhance intelligent systems Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office Qualifications Required Qualifications Bachelor 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 OR 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 OR equivalent experience Experience 4 years of industry experience in applied machine learning or data science roles Technical Skills Proficiency in Python and ML libraries e g PyTorch TensorFlow Experience with NLP generative models or content understanding is highly desirable Communication Strong written and verbal communication skills Ability to explain complex technical concepts to non-technical stakeholders Problem Solving Demonstrated ability to tackle open-ended problems and deliver practical scalable solutions Preferred Qualifications Master s degree with 6 years of experience or Ph D with 3 years of experience in a relevant field Experience contributing to research publications patents or open-source projects Hands-on experience deploying ML models in production environments Familiarity with the full product lifecycle from ideation to deployment and iteration Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the