Intern, Artificial Intelligence & Innovation

Overview

Join Cook Medical's AI & Innovation team to discover how artificial intelligence can accelerate our business strategy and drive innovation. Our team is actively learning, evaluating, and building AI prototypes in collaboration with various functions within the organization. As an AI & Innovation intern, you will play a crucial role in enhancing Cook's AI capabilities and promoting the adoption of cutting-edge technologies.

This position is a 12-week paid internship located in Bloomington, Indiana, offered from mid-May through mid-August (exact dates depend on school calendars). The position includes 401(k) options, an assigned mentor, a capstone presentation, and intern events. If working onsite, you will also have access to a fitness center, an onsite cafeteria option, and a one-time housing stipend. All internships provide hands-on experience with meaningful projects in the Medical Device Manufacturing Industry.

Responsibilities

Responsibilities:

The primary objective of the AI Intern is to gain practical experience by contributing to AI projects, learning and applying AI skills, supporting research and innovation, enhancing AI knowledge, collaborating effectively, contributing to responsible AI practices, building a professional network, creating documentation, and working toward personal development.

Specific Job Functions

• Assist in AI projects, working closely with our AI & Innovation leads.

• Work collaboratively with AI solutions engineers and creative professionals to explore, educate, consider, and recommend ways that we could use artificial intelligence to accelerate our business strategy, improve business processes, and unlock new data science capabilities.

• Lead and participate in rapid prototyping sessions to develop proof-of-concepts that could actually be used by the company.

• Document your approach and share your work with the organization.

• Conduct data collection, preparation, and cleaning for AI model training.

• Collaborate in the development and implementation of AI algorithms and models.

• Assist in the testing, evaluation, and validation of AI solutions.

• Participate in team discussions, brainstorming sessions, and knowledge sharing.

• Further develop our “AI Sandbox” to encourage AI experimentation throughout the company.

• Explore and implement AI solutions such as automating routine tasks, natural language processing (NLP) model for text analysis, computer vision projects, image recognition and object detection, utilization of LLM models to create customer chatbots etc.

• Participate in user experiments and pilot projects.

Qualifications

Required Skills:

• Strong programming skills in languages such as Python, and experience with AI frameworks like TensorFlow or PyTorch.

• Basic understanding of machine learning algorithms, neural networks, and deep learning concepts.

• Familiarity with data preprocessing, feature engineering, and data analysis.

• Motivated self-starter, excellent problem-solving skills and the ability to work independently as well as in a team.

• Eagerness to learn, adapt, and take on new challenges in the AI field.
• Hands-on experience using LLM tools (e.g., Claude, ChatGPT, Copilot) for real work, including writing clear prompts, critically evaluating outputs for accuracy, and recognizing when a response is wrong, incomplete, or unsupported.
• Strong communication skills and the ability to convey complex technical concepts.
• 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
• A minimum GPA of 3.0 is preferred
• All candidates must provide proof of enrollment (including pre-registration certification for the following fall) for consideration
• Multiple disciplines will be considered (e.g., Marketing, Life Sciences, General Business, and Management)