MillerKnoll is looking to accelerate product development and engineering through the application of machine learning and generative AI, and this internship is designed to contribute to impactful solutions that serve the business.
Requirements
- Hands-on experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies
- Familiarity with AI tools such as ChatGPT and GitHub Copilot
Responsibilities
- Assist in designing, training, and evaluating machine learning, deep learning, and LLM-based models in support of product engineering.
- Contribute to developing GenAI-powered applications using modern tools and frameworks.
- Prototype and test new AI/ML approaches to validate feasibility.
- Collaborate with product engineers, data scientists, and various other subject matter experts to integrate models into daily workflows.
- Prepare documentation of code & workflows, and findings for knowledge sharing.
Other
- Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
- You must have a GPA of at least 3.0 (overall or within your program) to qualify for consideration in the Intern Program.
- Must be authorized to work in the US and will not require sponsorship now or in the future.
- Must be able to perform all essential functions of the position with or without accommodations
- Strong written and verbal communication skills
