Innovation and Research Intern (Spring 2025)

A good student experience is never hands-off. We believe in creating an environment where students really can learn by doing during their time with us and where they are given their own areas of responsibilities from the start. That’s why you are treated as part of the team from day one and are encouraged to bring your own ideas to the table. 

Description

This is a position with the Innovation Lab that focuses on bringing innovations to different areas of BMW Group. The lab examines topics in the areas of artificial intelligence (such as machine/deep learning / genetic algorithms / generative AI / large language models), data science, Metaverse (AR/VR/Game Engines), cybersecurity, green IT and quantum computing.

The qualified intern should expect to contribute & improve in the in the following functions: 

• Work in an area of innovation focusing on one to two projects for the duration of the internship. Projects will have a mentor in the Innovation Lab.
• Analyze problems and implement solutions that can be proven to work. Continually refine and improve solutions.
• Share in team meetings current progress and challenges.
• Design and test algorithms using Python/R for local systems, GPU-based systems, and cloud solutions (AWS/Azure).
• Update and track tasks with tools such as JIRA and Confluence.
• Be open to learning new tools and technologies used by the Innovation Lab for data analytics (e.g. Tableau, Splunk, AWS).
•  Projects are dependent upon current tasks of the Innovation Lab as well as background and willingness of intern to learn new technologies and methods. Typical projects include deep learning classification / segmentation, data analytics using Python, Augmented and Virtual Reality application development, game design in Unity and Unreal Engine, experimenting with new IoT devices and design of algorithms suitable for next generation computers (e.g. quantum, neuromorphic, optical).

Qualifications 

• Pursuing a degree in Computer Science, Computer Engineering, Mathematics, Statistics, or related discipline.
• Possess a minimum cumulative GPA of 3.0 (not just in major).
• Have enrolled student status at an accredited four-year college or university in the United States.
• Completed at least 30 credit hours at time of application. 
• Ability to work full-time on-site (40 hours / week).
• Transfer students must have a GPA from current university.
• MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT. 
• Complete and pass a substance abuse test before the work term. 
• THE WORK TERM DATES ARE (January 13th - May 16th 2025)