Data platforms and analytics
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Applied Science: PhD Microsoft AI Internship Opportunities – Redmond
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data…
Senior Data and Applied Scientist
Microsoft’s Commercial Business & AI (CEAI) Data Science and Applied AI team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks, optimization pipelines, and experimentation…
Principal Forward Deployed Engineer – Data Science
As a Principal Forward Deployed Engineer – Data Science, you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution…
Senior Researcher – Security – Microsoft Research
The Security Research Group at Microsoft Research Redmond is pushing the boundaries of data‑driven security. In this role as a Senior Researcher – Security, you will work alongside leading researchers and engineers to design and…
Principal Data Scientist – MSN Growth and Analytics team
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist…
Senior Data & Applied Scientist – AI for CELA
Microsoft’s AI for CELA team is part of Corporate, External, and Legal Affairs (CELA), the organization that brings together legal, regulatory, public policy, compliance, and corporate affairs professionals to help Microsoft navigate complex issues and…
Quantization Beyond Uniform Bit Allocation
Principal Applied Scientist
Our team of Principal Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to…