Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences.
Design, develop and deploy data processing pipelines, machine learning models and workflows.
Work with internal and external partners to deploy and evaluate models and workflows.
Champion and coach the team in modern engineering practices.
Prepare technical papers and presentations.
Work on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
Required
1. Strong experience in Python software development and deployment.
2. Track record in designing, developing and deploying scientific ML systems with real world impact.
3. Experience working with cross-functional teams.
4. Experience working with major cloud platforms.
Preferred
1. Deep Learning experience.
2. Experience with chemoinformatics & computational chemistry.
3. Experience in real-world drug discovery.
4. Experience with other programming languages.
Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challenges in the molecular sciences with deep learning.
#J-18808-Ljbffr