What are the responsibilities and job description for the Robotics AI Algorithm Intern position at Magna Services of America, Inc.?
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. 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. Job Responsibilities: Position Overview 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 and evaluate Task and Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under the guidance of a Robotics Software 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. Essential Duties and Responsibilities: Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers, Natural Language Processing (NLP), Diffusion models, Gen-AI). Create representative case study to understand solution capabilities and limitations. Create, modify, and implement the software packages to a practical application. Develop evaluation criteria to test and evaluate the effectiveness of the systems. Present technical results and provide recommendations based on the case study. Qualifications: Comfortable developing, debugging, training, and testing models in deep learning frameworks Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics application are strongly preferred. Strong knowledge of ML, DL theory. Strong understanding of state-of-the-art AI techniques. Prior Experience with researching and implementing new Deep Learning architectures. Prior experience with model training and inference. Candidates with a good research record with publications are preferred. Excellent coding abilities in Python, PyTorch/TensorFlow. Good understanding of Robotics fundamentals. Curious, Team Player and ability to thrive in collaborative, small team environment. Education / Experience Current Graduate student preferably in a PhD program or MS program focused on researching/implementing Artificial Intelligence, Machine Learning, Generative AI based solutions for Robotics applications. 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. Worker Type: Student / Co-Op Group: Magna Corporate 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. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world. Let's create the future of mobility, together. Learn more about us: Sustainability Innovation Interview-Tips
