Senior Data and Cloud Engineer, AI for Science

At Microsoft Research AI for Science we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs. 

For our labs in Amsterdam (NL), London (UK), Cambridge (UK), and Berlin (DE), we seek a highly motivated data and cloud engineer to join our density functional theory (DFT) team (What is DFT?). The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science. Learn more about our work on accurate and scalable DFT in our blog and our project website. 

The primary focus of this role will be building and operating the cloud data pipelines that generate the large quantum chemistry datasets our models are trained on. You will work on turning quantum chemistry software into scalable cloud workflows, organizing and validating large scientific datasets, and running the cloud infrastructure behind them reliably and efficiently. If you have solid data and cloud engineering expertise and enjoy building infrastructure that enables cutting-edge scientific research, we encourage you to apply. 

This post will be open until the position is filled.

• Work with domain experts to turn quantum chemistry software into large-scale cloud data generation pipelines
• Organise, validate, and store large scientific datasets and make them efficiently available for ML and analysis
• Build cloud infrastructure with containers, infrastructure as code, and CI/CD for repeatable deployments
• Ensure reliability, security, and efficiency through observability, incident response, and capacity planning