What are the responsibilities and job description for the Research Intern, LLM position at United Imaging Intelligence?

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
Optimize training and testing workflows for LLM capabilities like reasoning and agentic intelligence.
Develop testing frameworks for automated model evaluation, especially on reasoning and agentic LLM workflows.
Collaborate with researchers to test new models and document findings.
Integrate agentic LLM capabilities into real-world product pipelines, focusing on practical implementation and usability.

Qualifications

Required :

Pursuing a degree in CS, Data Science, AI, or related field.

Strong Python programming skills.

Proficiency in data engineering to enhance AI capabilities.

Solid understanding of algorithms, data structures, and ML fundamentals.

Passion for advancing LLM capabilities, including reasoning, alignment, and complex instruction understanding.

Self-motivated, collaborative, and up-to-date on AI / ML trends.

Preferred :

Familiarity with LLMs.

Knowledge of LLM evaluation, prompt engineering, and NLP concepts.

Contributions to open-source projects and experience with SE and ML tools.

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