Penn Foster
Research Scientist, Fundamental Generative AI - New College Grad 2023
Penn Foster, Santa Clara, California, us, 95053
NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We are passionate about research that pushes boundaries and builds the next generation of generative models but also has an impact in the real world. We are particularly interested in advancing generative AI methods for image, video, 3D, graph, and multimodal generation. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning. Our existing expertise includes generative AI, computer vision, deep learning, and so forth. You will be empowered to make contributions that create real-world impact.What you'll be doing:
Research, design, and implement novel, large-scale generative AI methods.Publish original research.Collaborate with other team members, research teams, as well as product teams.Speak at conferences and events.Transfer technology to product groups.What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, Electrical Engineering, etc. (or equivalent experience).Excellent knowledge of the theory and practice of generative AI.Strong knowledge of NLP, 3D graphics / 3D vision, or perception desired.Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.Knowledge of common deep learning frameworks, such as PyTorch.Outstanding research track record.Excellent communication skills.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $118,400 - $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.
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Research, design, and implement novel, large-scale generative AI methods.Publish original research.Collaborate with other team members, research teams, as well as product teams.Speak at conferences and events.Transfer technology to product groups.What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, Electrical Engineering, etc. (or equivalent experience).Excellent knowledge of the theory and practice of generative AI.Strong knowledge of NLP, 3D graphics / 3D vision, or perception desired.Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.Knowledge of common deep learning frameworks, such as PyTorch.Outstanding research track record.Excellent communication skills.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $118,400 - $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.
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