Intern, Artificial Intelligence – Innovation
Cook Group
PythonPyTorchSpringTensorflow
Information Technology Intern – Artificial Intelligence
Cook Group
internship
Posted on:
Location Type: Office
Location: Bloomington • 🇺🇸 United States
Visit company websiteJob Level
Entry Level
Tech Stack
PythonPyTorchSpringTensorflow
About the role
- Gain practical experience, contribute AI projects, learn and apply AI skills.
- Support research and innovation, enhance AI knowledge, and collaborate effectively.
- 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.
Requirements
- 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).
Benefits
- 401(k) options
- Assigned mentor
- Capstone presentation
- Intern events
- Access to a fitness center
- Onsite cafeteria option
- One-time housing stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonTensorFlowPyTorchmachine learning algorithmsneural networksdeep learningdata preprocessingfeature engineeringdata analysisnatural language processing
Soft skills
problem-solvingcommunicationteamworkself-starteradaptabilityinitiativecollaborationcreativityknowledge sharingmotivation