This listing does not state pay. Across 73 open research scientist listings that state pay, the middle half runs $168,000 to $310,000 and the median is $240,000.

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How AI is used in this kind of work

AI use among medical scientists, except epidemiologists is little observed so far. Measured exposure for medical scientists, except epidemiologists: 4% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for text, image, video, 3D, or scientific applications (i.e., GenAI4Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning. 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 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, etc. (or equivalent experience) Excellent knowledge of the theory and practice of generative AI. Experience in building generative models for text, image, 3D, video, multimodal, biology, chemistry, or material science data. Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA). Knowledge of deep learning frameworks, such as PyTorch. Outstanding research track record. Excellent communication skills. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.