Senior Deep Learning Researcher, Diffusion

NVIDIA · Semiconductors · Tel Aviv, Israel

Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modality. The role involves inventing and building new techniques, publishing findings, and contributing to NVIDIA's AI enterprise software. Requires a PhD, research experience, and publications in top-tier conferences. Experience with image/video understanding and LLMs is essential.

What you'd actually do

  1. Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.
  2. Combine traditional diffusion technologies with the latest and greatest LLMs.
  3. Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions.
  4. Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.
  5. Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • 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.

Other signals

  • diffusion models
  • multi-modality
  • generative AI
  • LLMs