Research Intern, LLM

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on empowerment and win-win. UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA. We have immediate openings for LLM Research Interns with the following qualification requirements: [ Responsibilities ] Research and develop automated evaluation pipelines for Large Language Models (LLMs) in the medical domain, integrating clinical logic and bioinformatic standards; Implement and optimize evaluation frameworks using LLM/Agent-as-a-judge techniques and reward models to assess complex clinical reasoning capabilities; Conduct deep-dive analysis on model performance from both technical (NLP) and clinical perspectives, identifying failure modes and providing actionable insights for model alignment; Extend and improve the company's existing algorithms and evaluation libraries; Work closely with colleagues and management to develop company assets in NLP/LLM and Conversational AI; Be ambitious to lead the changes in future Healthcare with innovations. [ Qualifications ] Currently pursuing a PhD or Masters degree in Computer Science (AI/ML), Bioinformatics, Medical Informatics, Computational Biology, or a related quantitative/medical field; Strong interest in the intersection of AI and Healthcare, with the ability to bridge technical model evaluation and clinical domain knowledge; Strong programming skills with Python and familiarity with deep learning frameworks such as PyTorch; Understanding of the LLM life cycle, including data preparation and reinforcement learning (RLHF/RLAIF); Proven track record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP, etc.) is a plus; Passion for applying AI to make a positive impact in the healthcare domain; Ability to develop practical solutions to challenging problems; Strong writing, communication, and cross-discipline collaboration skills

Created: 2026-03-05