We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities. 

Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field. 

What you'll be doing:

• Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.

• Combine traditional diffusion technologies with the latest and greatest LLMs.

• Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions.

• Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.

• Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications. 

What we need to see:

• PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience.

• At least 3 years of relevant research experience

• Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR

• In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area

• Extensive experience in image and video understanding, generation, and reasoning.

Ways to stand out from the crowd:

• High proficiency in programming and coding

• Degree from a top-tier institution or equivalent experience in a world-class industrial research group

• Substantial contributions to the multi-modality or diffusion forefront of research.

• Experience in research fields of LLMs.

Candidates should apply with a detailed CV, publication list, and brief research statement.