Machine Learning Intern - Summer

Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

About the Role

The Intern will be supporting machine learning algorithm development of object and environment perception for autonomous driving vehicles. The task of the position includes but not limited to annotation of data collected from autonomous vehicle, test, and validation of machine learning results with real data.

Your Responsibilities

• Validate and audit labelled data for machine learning models
• Implement an algorithm to find possible erroneous annotations based on pre-train model and create error reports to make vendor modify the errors
• Create and deliver reports and presentations to explain and document your results
• Perform other duties as required

Who we are looking for

• Undergraduate student or hire education in EE/CS/ME/Robotics/Aero Space engineering

Your preferred qualifications

• Basic Machine Learning (CNN/DNN/AI) experience
• Basic Image Processing experience
• Basic programming skills with C/C++, Python, etc.
• Strong spoken and written English language skills.
• Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer. Vision abilities required by this job include close vision and ability to adjust focus. Some local travel may be required.

What we offer

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Site Benefits

Benefits vary per location