Job Description:
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. We are the Gray Systems Lab (GSL), the applied research group for Microsoft Azure Data. We tackle research problems in the areas of databases, big data, cloud, systems-for-ML, and ML-for-systems. Our mission is to advance the Microsoft Azure Data organization, and we do so in three ways: (i) innovating within Microsoft products and services (ii) publishing in top-tier conferences and journals, and (iii) actively contributing to open-source projects. As a Principal Scientist, you have an opportunity to work on the latest technology of LLMs and Data Science and apply them to some of the largest problems in industry, including practical applications of ML on workload insight and optimization, apply innovative algorithms for solving placement and load balancing problems at scale. In GSL we seek collaborative and inclusive manager who can think big, working on the bleeding edge envisioning a new future, and work with our team of researchers and engineers to make it happen.
