Ph.D. Research Generative AI Intern

What you'll do

• Design and implement algorithms for generative AI, computer vision, and robotics.
• Transfer research findings to product groups to enable new product types.
• Develop and deliver functional prototypes for research applications.
• Publish original research in top-tier conferences and journals.
• File patents based on research breakthroughs and technological innovations.
• Train large-scale models using frameworks like PyTorch, JAX, or TensorFlow.
• Apply research in areas like Multimodal Foundation Models or Diffusion Models.

What we're looking for

• Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
• Must clearly indicate an anticipated graduation date (month and year) on the resume or CV.
• Prior experience or knowledge in Python, C++, CUDA, and Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.) may be required.
• Must have a strong background in research with publications at top conferences.
• Must possess excellent communication and collaboration skills.
• Experience with large-scale model training is a plus (preferred).
• Research experience in at least one specific area, such as Multimodal Foundation Models, Diffusion Models, or Large Language Models, is required.