Robotics AI Algorithm- R&D Summer 2026

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What we offer:

Group Summary:

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.
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 or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.