Senior Deep Learning Researcher, Diffusion
Conduct advanced research and development in diffusion-based generative AI, multimodal learning, image and video understanding, and LLM integration.
Responsibilities
- Invent and develop efficient techniques for multimodal model creation
- Combine diffusion technologies with large language models
- Contribute to robust and scalable AI enterprise software
- Conduct research and development in multimodal learning
- Collaborate with internal teams, external researchers, and industry partners
- Publish research findings in leading journals and conferences
Requirements
- PhD in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience
- At least 3 years of relevant research experience
- Publications in leading conferences or journals such as NeurIPS, ICLR, or CVPR
- Deep understanding and active research experience in generative AI
- 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 multimodality or diffusion research
- Experience researching large language models