Research Intern - Deep Learning and Natural Language Processing

Last updated yesterday
Location:Redmond, Washington
Job Type:Full Time

Virtual Internship

Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship.

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. Our researchers and engineers 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.

For every hour doctors spend with their patients, they spend two hours on process and clerical tasks. And when they do meet with patients, they spend most of the time glued to their computer taking notes and entering orders. Not only does this lead to doctor burnout, but it can also be extremely distracting for patients, especially in current times where increasing levels of doctor-patient interaction is taking place online. We are EmpowerMD, a multi-disciplinary team of scientists, engineers, designers, and medical experts in Microsoft Healthcare building ambient intelligence for the clinic using machine learning and AI. This will let doctors focus on what they do best: taking care of patients.

We offer a unique vibrant environment that features cutting-edge academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup.

We are looking for an innovative, collaborative, and highly motivated research intern to join our efforts in machine learning for healthcare data, where we are developing state-of-the-art deep learning and natural language processing technology to build ambient intelligence for the clinic. Both supervised and unsupervised methods will be used to analyze, summarize, enhance, and interpret large collections of doctor-patient interactions and produce research outputs that can improve the doctor-patient experience (see Project EmpowerMD: https://aka.ms/empowermd).

#msfthealthcare #healthfutures #empowermd

Responsibilities

Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, students are paired with mentors and expected to collaborate with other 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

The ideal candidate will collaborate with a team of top-notch scientists, engineers, and healthcare researchers to:

  • Analyze real-world data to explore opportunities for modeling healthcare data
  • Design and implement state-of-the-art ML and NLP systems
  • Conduct rapid experimentation and deep engagement for real-world delivery and impact
  • Propose novel approaches for unsolved research problems

Qualifications

In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position. 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.

Required Qualifications

  • Must be currently enrolled in a PhD program in Computer Science, or a related STEM field.
  • Must have at least 1 year of experience in machine learning, natural language processing, or a related field

Preferred Qualifications

  • Passionate about real-world applications and impact in healthcare
  • Strong verbal and writing communication skills
  • Track record of publications in top ML or NLP venues
  • Experience with recent NLP & deep learning advancements, e.g., BERT, transformers, attention, LSTMs, sequence to sequence, etc.
  • Experience with natural language generation, text summarization, production ML/NLP pipelines
  • Experience with large datasets
  • Experience with deep learning platforms, such as PyTorch, TensorFlow, etc.
  • Experience working with knowledge graphs
  • Experience in explainable AI
  • Experience in working with healthcare data is a plus; willingness to learn a must!

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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