Responsibilities

• Develop and coordinate all engineering aspects as part of an ambitious, high-impact, research agenda in deep learning for chemistry and molecular dynamics, within the context of a highly collaborative research culture. This includes development infrastructure, dataset handling, development processes, and resource management.
• Develop research infrastructure for rapid machine learning experimentation.
• Collaborate with researchers and across the larger organization to identify and address future engineering needs of the project.
• Work with researchers as part of a team towards ambitious research milestones.

Qualifications

• Experience in research in machine learning, deep learning, computational chemistry/physics, or a related area, for example demonstrated by a completed MSc or PhD, or technical achievements.
• Demonstrated track record of high-quality machine learning engineering as part of a larger team.
• Strong understanding of state-of-the-art deep learning approaches.
• Preferably experience with molecular dynamics and/or quantum chemistry methods.
• Demonstrable ability to work in a multi-disciplinary team.
• Effective communication skills and ability to work in a collaborative environment.
• Passion to see research have real-world impact on key challenges for society

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.