NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission. As an Applied Deep Learning Scientist Intern, Cheminformatics & Virtual Screening, you will join a research and development team focused on infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement, productize, and deliver deep learning algorithms for applications to life sciences and drug discovery. The team engages in applied research and then helps productize this work. What you will be doing: Prototype and build deep learning algorithms for small molecule data and AI-assisted virtual screening workflows Collaborate with multiple AI infrastructure and research teams What we need to see: Pursuing a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field) and within one year of graduation Expertise in deep learning and machine learning Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow) Expertise in cheminformatics, virtual screening, and processing of biochemical data You should display strong communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate) Ways to stand out from the crowd: Experience with open source development Background with C/C++, CUDA, docker Experience with cheminformatics and related tools, such as RDKit, KNIME, AutoDock Vina, and Maestro Experience with diffusion models, equivariant models, and/or transformer-based NLP models Relevant publication history and/or conference attendance With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most hard-working and dedicated people in the world working with us and our engineering teams are growing fast in some of the hottest fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing? If so, we want to hear from you. The hourly rate for our interns is $19 - $93. 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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Nvidia

NVIDIA is seeking an Applied Deep Learning Scientist Intern for Cheminformatics & Virtual Screening. The role involves prototyping and building deep learning algorithms for small molecule data and AI-assisted virtual screening workflows, and collaborating with multiple AI infrastructure and research teams. Candidates should be pursuing a MS or PhD Degree in a quantitative field and have expertise in deep learning, machine learning, and cheminformatics.

Applied Deep Learning Scientist Intern, Cheminformatics and Virtual Screening

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