Magna International

Job Type: Intern/Co-op. This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D department.. Experience in training, deploying applications using ML workflows like PyTorch/TensorFlow, Python and DL tools.. Current higher education student; preferably in a graduate program focused on implementing Artificial Intelligence, Machine Learning, Deep learning-based solutions for Robotics or hardware-interface based applications.. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

software intern

Job Number: 64947 Group: Magna Corporate Division: Magna Design and Engineering (USA) Job Type: Intern/Co-op Location: TROY Work Style: About Us We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. Forward. For all. Group Summary 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 This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D department. The Advanced Robotics team is focused on developing novel technologies that give robots human-like capabilities in perception and dexterity. The candidate will design, develop, deploy and manage AI software for AI applications related to Robotic Manipulation tasks. The candidate will get a chance to work under the guidance of an AI Technical Specialist. Magna’s Student Program provides students the opportunity to gain practical work experience in their area of study related to the automotive industry. Your Responsibilities <ul><li> Develop or improve applications, algorithms and approaches in our AI software for Robotics Manipulation tasks.</li><li> Design, develop or deploy software solutions for our AI, ML & DL pipelines.</li><li> Create representative case study to understand solution capabilities and limitations.</li><li> Develop evaluation criteria to test and evaluate the effectiveness of the systems.</li><li> Present technical results and provide recommendations based on the case study. </li></ul>Who We Are Looking For <ul><li> Prior experience in MLOps, DevOps and writing software for creating AI applications.</li><li> Knowledge of ML, DL theory.</li><li> Experience in training, deploying applications using ML workflows like PyTorch/TensorFlow, Python and DL tools.</li><li> Prior experience with running model training and inference.</li><li> Excellent coding and scripting abilities in Python</li><li> Good understanding of Robotics fundamentals.</li><li> Curious, Team Player and ability to thrive in collaborative, small team environment. </li></ul>Your Preferred Qualifications <ul><li> Current higher education student; preferably in a graduate program focused on implementing Artificial Intelligence, Machine Learning, Deep learning-based solutions for Robotics or hardware-interface based applications. </li></ul>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 Awareness. Unity. Empowerment. At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

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