Senior Applied Scientist

11/27/2025

The role involves collaborating with various stakeholders, including researchers and product managers, to bridge the gap between research and product development. Additionally, the candidate will teach and guide colleagues in research techniques and share findings through publications.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product. Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices. Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven. 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. 3+ years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping 2+ years of experience with transformer-based models (e.g., GPT, Llama) These requirements include but are not limited to the following specialized security screenings: Experience coding and hands-on experience working with foundation models. Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, etc.). Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry) Experienced in web application development frameworks, such as React Experience delivering a Cloud SaaS product on Azure, AWS or GCP A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, WWW, CHI, PNAS, Nature)

Key Skills

StatisticsPredictive AnalyticsResearchAI/ML ProductsTransformer-Based ModelsDeep Neural NetworksPyTorchTensorFlowAgent Based ArchitecturesWeb Application DevelopmentCloud SaaSAzureAWSGCPPublication