The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We are hiring a Data Scientist with deep…
The Core Search and Artificial Intelligence (AI) team is the leading applied machine learning team at Microsoft responsible for delivering the quality experience to over 100M daily active users around the world in Microsoft’s search…
The CIX Data team, part of the Windows and Devices (W+D) engineering organization, is looking for an enthusiastic and expert Software & Data Engineers to help us build and deliver business Intelligence through data for…
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance…
We are hiring a SR Applied Scientist for the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related…
As a Senior Data Scientist, you will use your expertise in data science, machine learning, and artificial intelligence to solve real-world problems for customers. This role is fully remote, and successful candidates can be located…
Azure Research – Systems is looking for a highly skilled Senior Researcher to work on improving the power and energy efficiency of current and future datacenters, using any of algorithmic, systems, architecture, or control techniques.…
The Industry Solutions Engineering (ISE) team is hiring a Data Scientist with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with…
Autoscaling can optimize cloud resource usage and costs by adjusting to demand. VASIM shows that simplifying testing and refinement of autoscaling algorithms can enable rapid development and evaluation of more efficient & cost-effective autoscaling strategies.