[Remote] Intern, Applied AI & Full Stack Development

Note: The job is a remote job and is open to candidates in USA. Cook Medical is a medical device manufacturing company seeking an intern for its LoopTech applied AI team. The intern will design and ship full-stack features, support data science and AI model evaluation, build rapid prototypes, document and present work, and collaborate with engineers and researchers.

Responsibilities

• Design, build, and ship full-stack features on active LoopTech products, typically with Python (FastAPI) backends and TypeScript/React frontends
• Use agentic development tools (e.g., Claude Code and similar AI coding assistants) and strong prompt engineering to accelerate development and reduce boilerplate
• Conduct data collection, preparation, and curation in support of model training, evaluation, and analytics
• Assist in building and running evaluation harnesses for AI models and agents, including error analysis and reporting of results
• Lead and participate in rapid prototyping sessions to develop proof-of-concepts that could actually be used by the company
• Package work as minimal, runnable demos that others can execute, and present working software at team demos and the capstone presentation
• Document your approach and share your work with the organization
• Participate in team discussions, brainstorming sessions, knowledge sharing, user experiments, and pilot projects

Skills

• Strong programming skills in Python and/or TypeScript/JavaScript, with working git fluency
• Familiarity with web application fundamentals: APIs, databases, and modern frontend frameworks
• Interest in large language models and applied AI
• Motivated self-starter with excellent problem-solving skills and the ability to work with high autonomy as well as in a team
• Eagerness to learn, adapt, and take on new challenges in the AI field
• Strong communication skills and the ability to convey complex technical concepts to non-technical audiences
• All candidates should have an interest in a career in the Life Sciences field, a willingness to take initiative, and an ability to work well with others
• Candidates should be students entering their Junior or Senior year the following fall semester or entering graduate school; candidates who graduate the spring semester before this internship are also eligible
• All candidates must provide proof of enrollment (including pre-registration certification for the following fall) for consideration
• Multiple disciplines will be considered (e.g. Computer Science, Data Science, Informatics, Software Engineering, Computer/Electrical Engineering, and related fields)
• Experience with AI coding assistants or agentic tools is a plus
• Familiarity with machine learning concepts, data preprocessing, or frameworks such as PyTorch is a strong plus but not required
• A minimum GPA of 3.0 is preferred

Benefits

• 401(k) options
• An assigned mentor
• Capstone presentation
• Intern events
• If working onsite, access to a fitness center
• If working onsite, an onsite cafeteria option
• If working onsite, a one-time housing stipend
• Hands-on experience with meaningful projects in the Medical Device Manufacturing Industry
• Remote work status

Company Overview

Company H1B Sponsorship