Microsoft Research AI for Science is at the forefront of applying deep learning to transform natural sciences, particularly in molecular sciences and drug discovery. This role, based in either Cambridge, UK or Amsterdam, NL, offers an opportunity to work on fundamental challenges at the intersection of chemistry and drug discovery using machine learning.
As a Senior Research Engineer in Machine Learning, you'll be responsible for driving ML engineering strategy and implementation within an ambitious research agenda. The role involves designing and deploying data processing pipelines, machine learning models, and workflows while working with an international, interdisciplinary team.
The position requires strong Python development skills and experience with scientific ML systems that have demonstrated real-world impact. You'll work with major cloud platforms and HPC systems, while also having the opportunity to contribute to technical papers and presentations. Knowledge of deep learning, chemoinformatics, and computational chemistry is highly valued.
Microsoft offers an excellent benefits package including industry-leading healthcare, educational resources, savings and investments opportunities, and generous parental leave. The work environment is hybrid, allowing up to 50% work from home, with 0-25% travel required. This is an opportunity to join a world-class research organization and contribute to groundbreaking advances in AI applications for scientific discovery.