Information Technology Intern, Artificial Intelligence
Company : Cook Medical
Location : Bloomington, IN, 47404
Job Type : Intern
Date Posted : 11 January 2026
Overview
Join Cook Medical’s team of AI Engineers in IT to discover how artificial intelligence can accelerate our Information Technology business strategy. Our team is actively learning, evaluating, and building AI prototypes in collaboration with various functions within the organization. As an AI Engineer in IT intern, you will work with our Information Technology team to enhance Cook’s AI capabilities and promote adoption. Areas of focus will include solution engineering, testing, process governance and/or cybersecurity.
This position is a 12-week paid internship located in Bloomington, Spencer, or Ellettsville Indiana. It is offered for a period extending from mid-May through mid-August (exact dates depend on school calendars.) This position includes 401(k) options, an assigned mentor, 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
The primary objective of the AI Engineer Intern in IT is to gain practical experience, contribute AI projects, learn and apply AI skills, support research and innovation, enhance AI knowledge, collaborate effectively, contribute to responsible AI practices, build a professional network, create documentation and work toward personal development.
Specific Job Functions
- Assist in AI research and development projects, working closely with our AI Engineers in IT team.
- Work collaboratively with computer 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 playground” 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, TensorFlow, PyTorch, or similar.
- 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.
- 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)
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Frequently asked questions
Proficiency in Python is crucial, especially with frameworks like TensorFlow and PyTorch. These tools help build and test AI models effectively. Strengthening skills in these languages will make you a valuable candidate for AI internships in IT, particularly when working on machine learning and deep learning projects.
AI-driven IT internships emphasize developing, testing, and deploying machine learning models, unlike conventional IT roles that focus more on system maintenance or network support. This specialization offers hands-on experience with emerging AI technologies, enhancing skill sets in areas like natural language processing and computer vision.
Absolutely, this internship merges IT expertise with life sciences, offering unique exposure to medical device innovation using AI. Working alongside AI engineers provides practical experience and networking opportunities vital for advancing in healthcare technology sectors.
Cook Medical integrates AI projects directly into medical device manufacturing, providing interns with impactful, real-world applications of AI in healthcare. Access to mentors, capstone presentations, and onsite amenities like fitness centers enrich the learning experience beyond typical tech internships.
While formal certifications aren't mandatory, credentials in machine learning, Python programming, or data analysis can enhance your candidacy in Bloomington's competitive tech market. Local employers often value certifications that demonstrate hands-on AI and data science capabilities.
Interns in AI-focused IT roles in Bloomington generally earn between $18 to $25 per hour, reflecting the specialized skills required. Cook Medical’s paid internships align with this range, offering competitive compensation alongside valuable industry experience.
Competition is growing due to the rising interest in AI careers, especially within tech hubs like Bloomington. Candidates with strong coding skills, a portfolio of AI projects, and a genuine interest in life sciences tend to stand out during selection.
Interns usually engage in data preprocessing, prototype development, and AI model testing. Collaborative brainstorming sessions and documenting AI solutions are also common, providing a comprehensive learning environment that balances technical and communication skills.
Strong foundations in computer science, engineering, or related fields are ideal. However, interdisciplinary studies including life sciences or business can also be beneficial, given the integration of AI with medical device industry challenges.
Beyond technical projects, Cook Medical offers mentorship, intern events, and facilities like onsite fitness centers. The opportunity to contribute to AI innovations in healthcare, paired with networking and professional development, makes this internship distinct.