Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2025 Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2025

Applied Deep Learning Scientist Intern, Bio Foundation Model Research - Summer 2025 NVIDIA 2.7 ( ) Santa Clara, CA # JR1989479 Position summary Collaborate with cross-functional teams in AI infrastructure and biological research. Develop bio foundation models with applications in drug discovery, personalized medicine, and functional genomics. What we need to see: Pursuing a MS or PhD in a quantitative field such as Computational Biology, Genomics, AI, Computer Science, Physics, or Mathematics Expertise in deep learning, machine learning, and bioinformatics tools. Experience with Python and relevant libraries (NumPy, Pandas, Matplotlib) for data analysis, and deep learning frameworks like PyTorch or TensorFlow. Knowledge in genomics, human genetics, and/or processing of biological data. Strong communication skills, highly organized, self-motivated, and team-oriented. Ways to stand out from the crowd: Experience in the development of bio foundation models or open-source contributions in the bioinformatics field. Familiarity with diffusion models, transformer-based models, and advanced AI algorithms. Experience in developing models for the analysis of genetic data or functional genomics. A relevant publication history or conference presentations in the field of bioinformatics or computational biology. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The hourly rate for our interns is 18 USD - 71 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 . NVIDIA accepts applications on an ongoing basis. 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.