Senior Deep Learning Researcher, Diffusion
At a glance
Senior AI Research role at NVIDIA. Israel, Tel Aviv · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop efficient methods for building multimodal models, then publish your research in leading venues
- Combine diffusion methods with large language models in research and development
- Help improve NVIDIA AI enterprise software so it remains robust and scalable
- Work with internal and external research teams on multimodal learning and practical applications
What you bring
- A doctorate in computer science, electrical engineering or a closely related area, or equivalent experience
- At least three years of relevant research experience, with publications in leading conferences or journals
- Hands-on research in generative AI, including substantial work on image and video understanding, generation and reasoning
Who this fits
This senior research role suits someone with a strong generative AI research record and experience spanning image and video tasks. You’ll collaborate with teams and scientific organizations worldwide. Apply with a detailed CV, publication list and a brief research statement.
From the employer
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.