Job Description
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 Master’s 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