Data & Applied Scientist
The Senior Data & Applied Scientist will join the Automated Machine Learning (AutoML) team, part of Azure AI Platform, to conduct research and development of advanced ML modeling capabilities. This role involves building and deploying meta-machine learning models to democratize AI, specializing in statistical learning, deep learning, and natural language processing, and working with big data tools to bring customer-inspired innovations into production.
Do you want to build the AI that builds the AI? Today is the world of “pervasive intelligence” where products and processes need to incorporate forms of Machine Learning and data-driven intelligence at a rapid pace. We need more machine learning models than data science teams can create and/or keep up with to meet this demand. This future demands that we make data scientists more productive by empowering anyone needing a quantitative prediction from data with the ability to create, evaluate and deploy ML Models. The Automated Machine Learning (AutoML) team is part of the Azure AI Platform and is leading the charter for “Democratizing AI for the Intelligent edge and Intelligent cloud”. AutoML team works on developing new meta-machine learning models to automate the construction and tuning of machine learning solutions. The goal of the team is to help expert Data Scientists, Enthusiasts and Business Users to build high quality, enterprise ready, machine learning models with the click of a button. Automated ML covers classification, regression, time series forecasting, natural language processing, computer vision -- and any machine learning task you can build to cover our customer’s needs.
We are looking for a Senior (Applied) Data Scientist that specializes and has passion for developing ML technologies. You will be part of this high-energy team and will contribute to and work alongside many talented colleagues on exciting ML problems! Experience having used machine learning or deep learning as a main skill on your job is required in this role, as the intuition associated with such experiences can help make our systems naturally easy to use for data scientists. We also believe in learning and growing on the job, so being passionate about the latest developments in ML and deep learning and a desire to learn is a requirement for this role.
Posted June 1, 2026