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