Algorithm Engineer Intern — Data Science & Optimization

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 cutting-edge algorithms that powers industrial applications and systems. Write code for implementing and maintaining algorithms that addresses complex problems, improve system performance and enhance overall functionality.

Your Responsibilities

• Collaborate with cross-functional teams in understanding requirements and objectives.
• Design and development of mathematical models for the algorithms.
• Implement code using programming languages such as Python, C, or others.
• Develop testing framework and conduct thorough testing to ensure reliability and accuracy of algorithms for various scenarios.
• Create detailed documentation for algorithms, including specifications, implementation details, and usage guidelines.

Who we are looking for

• Background in development of mathematical models for problem statements
• Strong desired to work in Data Science and Analytics
• Background in development of code in Python, R, MATLAB etc.

Your preferred qualifications

• Bachelors level degree in Computer Science
• Currently Attending a Graduate with focus on optimization and algorithms

• 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.