Machine Learning Engineer Intern- Summer 2024

Key Skills

C Programming, C++, Data Analytics, Data science techniques, Effective communication skills, Machine learning techniques, Python Programming, R Programming, TensorFlow

Job Description

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

Design and development of machine learning models to solve real world challenges in manufacturing and industrial applications. Analyze large datasets with geolocation coordinates and generate predictive models.

Your Responsibilities

• Collaborate with cross-functional teams in understanding requirements and objectives.
• Design and development of machine learning and data science models.
• Implement code using programming languages such as Python, C, or others.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Keras etc.
• Familiarity with creation of datasets for training, validation and test for model development.

Who we are looking for

• Strong desired to work in Data Science and Analytics
• Background in development of code in Python, R, C, C++, TensorFlow

Your preferred qualifications

• Bachelors level degree in Computer Science
• Currently Attending a Graduate or advanced level course with focus on Data Science
• Proficient in Computer programming
• Professional Communication skills (written and verbal)
• Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.

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.