Research Intern - Applied Sciences Group (Computer Vision & Deep Learning)


On Site
USD 5,090.00 - 10,120.00 per month
Full Time


Machine Learning (ML)
Generative Artificial Intelligence (AI)
Research and Development
Computer vision
Deep learning
User experience
Augmented reality
Software engineering
3D computer graphics
Health care
Artificial intelligence
Microsoft Windows
Computer hardware

Job Details

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.

If you have a passion for cutting-edge machine learning (ML) and a keen interest in advancing the realm of computer vision, we invite you to join the Microsoft Applied Sciences Group. Dive into the exciting intersection of ML, video, and graphics to elevate the experiences of millions of personal computer (PC) users and developers. Our focus is on harnessing the power of generative artificial intelligence (AI) in computer vision to redefine the Windows user experience. Come be part of our team as we push the boundaries in generating videos and images, integrating augmented reality (AR) features for tele-conferencing, and enhancing our ability to comprehend user gestures and environments. Are you eager to contribute to the widespread application of generative AI in the field of computer vision, impacting millions of users globally?

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.


Required Qualifications
  • Currently enrolled in a PhD or master's program in computer vision, machine learning or closely related fields.

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 above, 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.
Preferred Qualifications
  • Demonstrated publication record in top-tier vision or ML conferences (e.g. CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR).
  • Comprehensive Deep Learning, algorithmic and software engineering background.
  • Knowledge of generative and three dimensional (3D) models in computer visions (e.g. Diffusion, NeRF, GAN, VQ-VAE models).

The base pay range for this internship is - Applied Sciences IC2 : USD $5,090 -$10,120 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $6,690 -$11,030 per month.

The base pay range for this internship is- Applied Sciences IC3 : USD $6,290 -$12,170 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 $8,060 - $13, 240 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

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.


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.

We are looking for a computer vision Research Intern with expertise in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences' mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few.