Responsibilities
* Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences.
* Design and develop new machine learning models and algorithms.
* Write code to run and evaluate large-scale ML experiments.
* Work with internal and external partners to deploy and evaluate models and workflows.
* Prepare technical papers and presentations.
* Collaborate on a day-to-day basis with an international and interdisciplinary research team towards a common research goal.
Qualifications
Required:
* Track record in Deep Learning research, evidenced by a PhD or similar research experience in the field.
* Experience designing and optimizing new architectures and algorithms, and conducting experiments to study their performance.
* Proficiency in Python software development, demonstrated by published software projects (e.g., GitHub).
* Experience in developing and implementing deep learning systems (e.g., in PyTorch or JAX).
Preferred:
* Experience working with graph data, reinforcement learning, and/or generative models.
* Experience with molecular data in real-world drug discovery.
* Track record of publications in ML conferences and/or scientific journals.
Additional Information
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 and regulations.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form.
Benefits and perks listed below may vary depending on your employment nature and country of work.
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