Senior Applied Scientist

Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models user data Microsoft Graph and the web to drive unparalleled creativity and productivity We are a small nimble team that is advancing the state of the art of models in M365 Copilot Come join our team and help transform the LLM experience in the enterprise We are seeking a Senior Applied Scientist with stellar research and system building skills and the desire to pursue the cutting edge in model development that pushes technological boundaries We are looking for candidates with interest and experience in language model training reinforcement learning and supervised fine-tuning We provide a nurturing environment to support passionate researchers and engineers in technology innovation We seek candidates that excel in deep thinking advanced development and fast-paced entrepreneurial execution in a collaborative setting In this role you will have the opportunity to work with researchers and engineers at Microsoft to push forward the product roadmap and to impact businesses We firmly believe in building and fostering a diverse and inclusive work environment We practice open communication and respectful dialogue We support multiple social and career building opportunities in our team 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 Train and deploy Language Models adapted to specific industry needs Create and adapt novel training and fine-tuning algorithms for language models Identifies researches and implements machine learning solutions given product requirements Brings a research project to successful completion yielding new algorithms prototypes theories tools methods analyses insights or collections of data which solve one or more open research problems Document and share best practices across the organization Supports mentorship by assisting with onboarding of research interns or other entry-level team members Qualifications Required Qualifications Bachelor 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 OR Master s Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 5 years related experience e g statistics predictive analytics research OR Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 2 year s related experience e g statistics predictive analytics research OR equivalent experience Hands on experience training fine tuning AI ML models preferably LLMs SLMs Solid foundational knowledge of statistics and core data science concepts including data preprocessing feature engineering and predictive modeling Practical experience in building and optimizing Generative AI pipelines including techniques like Retrieval-Augmented Generation RAG model deployment function calling and grounding Proficiency in Python PyTorch or equivalent frameworks and distributed model training Solid understanding of data structures algorithms and cloud computing principles Preferred Qualifications 3 years experience creating publications e g patents libraries peer-reviewed academic papers Experience with reinforcement learning literature and algorithms Deep knowledge of transformer models and architectures Experience with reinforcement learning algorithms and applications Other Requirements Ability to meet Microsoft customer and or government security screening requirements are required for this role These requirements include but are not limited to the following specialized security screenings Microsoft Cloud Background Check This position will be required to pass the Microsoft Cloud background check upon hire transfer and every two years thereafter 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 M365CORE