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Overview

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Microsoft Research Health Futures conducts world-class research at the intersection of Artificial Intelligence (AI) and healthcare, drawing on deep expertise in biomedical imaging and multimodal deep learning. We are seeking Research Interns to join our vibrant team of researchers and engineers.

We focus on the development and understanding of large multimodal models (such as MAIRA (https://www.microsoft.com/en-us/research/project/project-maira/) ) for problems in healthcare and biomedical discovery.

As a Research Intern within our team, you will have the opportunity to:

+ Deepen your expertise in multimodal deep learning and contribute to our ambitious research agenda

+ Conduct experimentation with world-class computational resources

+ Learn in a team with a strong culture of collaboration and rigorous research

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Additional Responsibilities

We are looking for candidates who have intellectual curiosity and passion to solve real-world problems in healthcare using machine learning. Responsibilities will include:

+ Co-development of an internship project in collaboration with the supervisor

+ Design, implementation and evaluation of new machine learning methods and models

+ Presentation and communication of research findings

Qualifications

Required Qualifications

+ Currently enrolled in a PhD program in areas such as computer science (e.g. machine learning, deep learning, signal processing), medical imaging, computational biology, medicine.

Other Requirements

+ Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

+ In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

+ Prior experience with deep learning frameworks (e.g., PyTorch) and some familiarity with software engineering practices (e.g. git).

+ Passion for healthcare and medicine.

+ Experience with healthcare data.

+ Ability to work and learn in a collaborative and diverse environment.

+ Representation learning, self-supervised learning, unimodal or multimodal learning.

+ Expertise in or enthusiasm for **any of the following topics** :

+ Interpretability methods for deep learning (e.g. mechanistic interpretability, intrinsically interpretable methods, representation engineering, circuit discovery or rule extraction).

+ Design, training, or evaluation of large unimodal or multimodal transformers.

+ Biomedical imaging such as radiology, computational histopathology.

+ Computational biology including -omics, bioinformatics, when coupled with deep learning.

+ Clinical data integration or multimodal fusion.

+ Large language models for healthcare and medicine, biomedical natural language processing, post-training of LLMs/RLAIF.

+ AI for scientific discovery, including hypothesis generation, biomarker discovery.

+ Causal machine learning.

+ Track record of publication in conferences or journals within machine learning and/or healthcare.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)