Research Intern

Bethesda, MD, USA and Santa Clara, CA, USA
Job Type: 
Full Time
Closing Date: 
Wednesday, May 1, 2019

We are now looking for an Applied Research Interns (Deep Learning on Medical Imaging for Clinical Informatics):

NVIDIA is searching for world-class researchers in deep learning, focused on large-scale and high-precision medical imaging analysis to join our applied research team. We believe that Deep Learning accelerated AI will completely reshape life sciences, medicine, and healthcare as an industry. To foster that transformation, NVIDIA is democratizing deep learning by providing an end-to-end AI computing platform designed for the healthcare community. These GPU-accelerated solutions are helping foster collaboration, while at the same time keeping each institution’s information secure.

GPU-accelerated deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical research applications—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Innovations in AI are advancing the future of precision medicine and population health management in unbelievable ways.

We are passionate about applying deep learning to medical imaging for high-performance preventive medicine, precision medicine and knowledge mining from very large-scale clinical datasets of multiple imaging and non-imaging resources, to facilitate novel and effective clinical workflows, built upon Nvidia’s hardware/software AI platform. After building prototypes that demonstrate the promise of your research, you will collaborate with software engineering team to integrate your work into products.


  • This internship offers you the opportunity to craft deep learning approaches to solving particular medical imaging problems, with the goal of improving and inventing new & effective clinical workflows.
  • Construct and curate large problem specific datasets.
  • Design and implement medical imaging, computer vision, machine learning techniques aimed at solving specific problems.
  • Ability to keep up with the latest DL research and collaborate with diverse teams (internal and external to Nvidia), including DL researchers, clinical and research physicians, medical imaging researchers hardware architects, and software engineers.
  • Generate high quality patents and top tier technical/clinical publications, transfer technology into products.


  • You will be pursuing a PhD in Electrical Engineering, Computer Science/Engineering, or a related field
  • Relevant work experience in computer vision, medical imaging, deep learning or statistical learning
  • Excellent knowledge of understanding and practicing deep learning and medical imaging.
  • You've produced a track record of research (publication) excellence and/or significant product development. IE 4+ pieces of tier-one publications with substantial deep learning for medical imaging experience.
  • Excellent rapid prototyping skills with medical imaging applications using Python; C++, Matlab.
  • Excellent knowledge and development experience of common deep learning frameworks and packages (Caffe, Tensorflow, PyTorch, etc.).
  • Deep experience in application areas such as medical imaging and computer vision;
  • Knowledge of medical imaging visualization and processing packages is a big plus.
  • Excellent communications skills.
  • Prior experience working with physicians to identify (novel) important problems and assessing possible deep learning solutions is a plus.

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by Artificial Intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. Many profound medical applications will improve humanity piece by piece via improved quality of healthcare with lower costs. This is truly an extraordinary time. The era of AI has begun.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for technology and improving the healthcare / medical industry? Do you love a challenge? If so, we want to hear from you. Come, join our medical applied research team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.


NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.