We are now recruiting top Applied Research Interns to join NeMo AI Applications team! Our team develops algorithms and software for foundation model training and tuning.Do you love the challenge of training deep learning models? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, then join our team and help us design large deep learning systems for natural language processing!What you'll be doing:Develop and prototype new deep learning algorithms and models for foundation model alignment and customizationContribute to open-source projects such as NVIDIA NeMoPublish your internship project resultsWhat we need to see:Pursuing a PhD degree in Computer Science or Electrical EngineeringMasters students with good publication record will be considered tooExcellent Python programming skillsStrong knowledge in Deep Learning for Natural Language ProcessingExperience with PyTorch, Tensorflow or JAXAbility to work independentlyAttention to details and ability to manage large sets of experimentsWays to stand out from the crowd:Contribution to open-source projects. Please include links to your OSS contributions!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. If you are creative and autonomous and you love the challenge of constantly innovating in a growing and quickly expanding field, we want to hear from you.The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits.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.
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