Robotics AI Algorithm- R&D Summer 2026
Role Overview
Research internship on Magna's Advanced Robotics team in Corporate Engineering and R&D.
The team develops technologies for robot perception and dexterity; the intern will work on task and motion-planning algorithms for articulated manipulator robots under a Robotics Software Technical Specialist.
Magna's Student Program offers practical work experience related to students' areas of study and the automotive industry.
Key Skills for This Role
Full Job Posting
Position overview
Research internship on Magna's Advanced Robotics team in Corporate Engineering and R&D.
The team develops technologies for robot perception and dexterity; the intern will work on task and motion-planning algorithms for articulated manipulator robots under a Robotics Software Technical Specialist.
Magna's Student Program offers practical work experience related to students' areas of study and the automotive industry.
Essential duties
- Research and implement a novel or extended AI algorithm for robotic manipulation, such as deep learning, reinforcement learning, transformers, NLP, diffusion models, or generative AI.
- Create representative case studies to understand solution capabilities and limitations.
- Create, modify, and implement software packages for practical applications.
- Develop criteria for testing and evaluating system effectiveness.
- Present technical results and recommendations based on case studies.
Qualifications
- Comfortable developing, debugging, training, and testing models in deep learning frameworks.
- Strong knowledge of machine learning and deep learning theory and state-of-the-art AI techniques.
- Prior experience researching and implementing new deep learning architectures, and experience with model training and inference.
- Strong coding abilities in Python and PyTorch or TensorFlow; good understanding of robotics fundamentals.
- Experience with generative AI, transformer, or diffusion-model solutions for robotics is strongly preferred.
- Research publications are preferred.
- Curiosity, teamwork, and ability to thrive in a collaborative small-team environment.
Work environment
- The role is based in an office environment in Troy, Michigan, with normal sitting or standing, mobility around the office, and computer work.
Worker type
Intern (fixed term) (trainee).
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