RSDE: Machine Learning – Microsoft Research AI for Science

Job Description

Deep learning has only just begun to transform 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.

For our lab in Berlin, Germany and Cambridge, UK, we are seeking exceptional research software development engineer candidates for a moonshot project in the field of molecular biology. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment. Candidates are expected to have a completed PhD.

Responsibilities

• Contribute to and drive an ambitious, high-impact, research agenda development on machine learning in the molecular sciences.
• Software development for efficient and expressive machine learning models for biomolecules. Codebase management and coordination.
• Optimizing machine learning models for scaling, training and inference efficiency.
• Systems engineering, e.g., efficiently working distributed cloud computing and data management system, optimizing system for efficiency and cloud costs.
• Deployment of ML models to users and technology transfer to product groups.
• Being fully committed to one research team and project that may take several years to come to fruition and prioritizing team success over individual research interests.

Qualifications

Required

• Experienced in Python software development with object-oriented design, software packaging and deployment, ideally demonstrated by published software projects (e.g., github).
• Experienced in developing, implementing and optimizing deep learning systems (e.g., in PyTorch or JAX).
• Experienced with high-performance computing or distributed computing job and file system.
  

Preferred

• Industry experience and successfully completed projects in the area.
• Cuda development experience
• Experience with protein science or bioinformatics.
• Experience with interpreting and including experimental data into models, e.g., Cryo-EM.
• Understanding of computational statistics and experience with generative model model development (e.g., diffusion or flow-models).
• Experience in method development for molecular dynamics and statistical Mechanics.
• Track-record of developing and optimizing novel deep learning architectures.

#Research #AI for Science

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.