PhD Research Intern, Efficient Deep Learning - 2027
Core
Research and implement novel methods for efficient deep learning, focusing on diffusion LLMs, multimodal generative models, and efficient agentic AI with hybrid cloud-edge inference.
Role type
PhD Research Intern (Efficient Deep Learning)
Builds
Research outputs and novel methods for efficient model training and inference.
Domain
Artificial Intelligence / Deep Learning / Generative AI
Deliverable
research
Required skills
Machine learning theory, Deep learning, Large language models, Diffusion models, Multimodal models, Agentic systems, Large-scale model training, Model parallelization, Top-tier conference publication record
Preferred skills
CUDA, Hybrid cloud-edge inference, Model pruning, Quantization, Neural Architecture Search (NAS)
Responsibilities
Research and design efficient deep learning methods, Publish original research, Collaborate with product groups to transfer technology, Work with external researchers
Seniority
Intern
