Student Researcher - (Seed Model - LLM) - 2026 Start (PhD)

What you'll do

• Research and develop cutting-edge algorithms, with opportunities to publish papers and apply for patents.
• Investigate LLM and multimodal machine-learning technologies and explore their application to practical industry problems.

What they ask for

• Currently pursuing a PhD in artificial intelligence, computer science, automation, mathematics, or a related technical discipline.
• Strong data structures and algorithm-design foundation; proficiency in Python/C++, deep-learning frameworks such as PyTorch and TensorFlow, and distributed LLM training frameworks such as Megatron/FSDP/Deepspeed.
• Good reading and writing skills and a solid mathematics foundation.
• Must obtain and maintain U.S. work authorization; able to commit to 12 weeks of full-time work during Summer or Fall 2026.

Nice to have

• Experience with pretrained-model technologies and applications, including efficient training, deployment services, NLP, CV, video, or multimodal machine learning.
• Papers at accredited academic conferences or strong competition results in multimodal machine learning, computer vision, or machine learning.

Tools

Python, C++, PyTorch, TensorFlow, Megatron, FSDP, Deepspeed

AI focus

Foundational algorithm research for LLMs, including model architecture, optimization, stability, training and inference efficiency, and multimodal machine learning.