Nvidia Senior Applied Deep Learning Research Scientist multi-modal LLMs 

United States, California 

289179588

What you will be doing:

• Research, design, implement and publish novel, large-scale generative models that improve multi-modal LLMs with a focus on audio.

• Design and implement machine learning techniques to adapt generative models to downstream tasks of interest such as audio understanding and synthesis.

• Construct and curate datasets for large-scale machine learning and specific domains of applications.

• Collaborate with other team members, research teams, as well as product teams to integrate your research and developments into products.

What we need to see:

• Must hold a Ph.D. in Computer Science/Engineering, Statistics, Electrical Engineering, etc., or equivalent experience.

• Excellent knowledge of the theory and practice of "generative AI".

• 5+ years of relevant research experience, with at least 3+ years of industry experience, in deep learning, audio, generative models, or related machine learning fields.

• Strong knowledge of application areas such as audio and natural language processing.

• Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

• Expertise with deep learning frameworks such as PyTorch.

• Outstanding research track record.

• Excellent communication skills.