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Magna International

Robotics AI Software Intern

Posted 23 Hours Ago
Be an Early Applicant
Hybrid
Troy, MI
Internship
Hybrid
Troy, MI
Internship
As a Robotics AI Software Intern, you will develop and improve AI applications for robotics manipulation tasks, design and deploy software solutions using ML workflows, and evaluate system effectiveness through case studies. You'll work closely with a Robotics Software Specialist to gain hands-on experience in the field.
The summary above was generated by AI

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:

  • Develop or improve applications, algorithms and approaches in our AI software for Robotics Manipulation tasks.
  • Design, develop or deploy software solutions for our AI, ML & DL pipelines.
  • Create representative case study to understand solution capabilities and limitations.
  • Develop evaluation criteria to test and evaluate the effectiveness of the systems.
  • Present technical results and provide recommendations based on the case study.


Qualifications:

  • Prior experience in MLOps, DevOps and writing software for creating AI applications.
  • Knowledge of ML, DL theory.
  • Experience in training, deploying applications using ML workflows like PyTorch/TensorFlow, Python and DL tools.
  • Prior experience with running model training and inference.
  • Excellent coding and scripting abilities in Python
  • Good understanding of Robotics fundamentals.
  • Curious, Team Player and ability to thrive in collaborative, small team environment.


Education / Experience

  • 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.


Physical Demands / Work Environment:

  • Normal amount of sitting or standing, average mobility to move around an office (Troy, MI) environment, able to conduct a normal amount of work at a computer.


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

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