FAQs
What are the work mode and location for this internship?
The work mode is onsite, and the location is Maple Grove, MN, US.
What is the duration of the internship?
The internship duration is from May to August 2025, though the dates are flexible.
What educational qualifications are required for this internship?
Candidates must be current Bachelor's students in their Junior or Senior year, or graduate students, and must have at least one semester of school left post-internship to qualify.
Is it necessary to have prior experience in AI or machine learning?
While prior hands-on work experience with artificial intelligence, machine learning, or machine vision is preferred, it is not mandatory.
Are there any benefits associated with this internship?
Yes, benefits include corporate housing and relocation assistance or living stipend for eligible candidates, half-day Fridays during the summer, a free on-campus fitness center, and social events throughout the summer.
What is the focus of the projects that the intern will assist with?
The intern will assist with Artificial Intelligence projects targeted toward image-based quality inspections on the factory floor, involving technologies such as high-resolution 2D imaging and Visual AI.
Do I need to be authorized to work in the United States to apply?
Yes, candidates must have authorization to work in the United States without restriction.
What kind of projects will I be working on during the internship?
You will work on practical applications of emerging technologies such as image collection, software development, and testing related to AI and vision systems in a factory setting.
What qualities are important for success in this internship?
Important qualities include the ability to work independently on tasks, balance multiple projects, carry out independent tests, learn new technologies, collaborate with team members, and communicate effectively.
When will applications be accepted for this internship?
The position will be posted from September 3rd to November 8th, 2024.