Applied Scientist, Deep Learning

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.We are now looking for Deep Learning Applied Scientist to work on deep learning foundation models with us!What you'll be doing:Develop and prototype new Deep Learning methods for NLP with focus on Large language models tuningWork as part of NVIDIA’s software product teams to release novel AI software and servicesContribute to open-source productsCollaborate with researchers in leading universities and industrial research labsPublish your research and present to conferences and customers.What we need to see:Ph.D. (or Masters) degree in Computer Science, Artificial Intelligence, Applied Math or related field (or equivalent experience)3+ years of relevant experience (Ph.D. experience counts)Excellent programming skills with Python and knowledge of Pytorch or TensorflowPublication track recordStrong understanding of Deep Learning and optimization algorithms with applications in NLP or RLAbility to work independently and as a part of a larger teamWays to stand out from the crowd:Contributions to the open sourced projectsPerformance optimization experienceC++ and CUDA experienceThe base salary range is $156,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and 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.