AI CAD Research Co-op

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In this role, the Geometry AI/ML Co‑op will support foundational research into applying AI, Machine Learning, and GenAI techniques to geometric data and CAD environments. The student will work closely with the AI & SW Technologies team to review state‑of‑the‑art research publications, evaluate open‑source code implementations, and prepare high‑quality test datasets using both public and internal CAD sources. They will also explore data extraction workflows from CATIA to enable downstream ML experimentation. This co‑op position offers hands‑on experience at the intersection of engineering design, computational geometry, and applied AI within a fast‑paced R&D environment.

• Analyze relevant AI/ML research publications related to geometric processing and CAD.

• Evaluate open‑source code repositories to identify approaches applicable to R&D needs.

• Prepare and structure test datasets using public and internal CAD models.

• Extract geometric data and metadata from CATIA to support AI/ML model development.

• Document findings through clear technical reports and summaries.

• Support team discussions by presenting insights from research and experiments.

• Foundational skills in Python and experience with AI/ML or GenAI tooling.

• Interest in or basic understanding of geometry processing, computational design, or related ML topics.

• Engineering background or ongoing studies in a related field.

• Familiarity with CAD tools (e.g., CATIA).

• Analytical and detail‑oriented mindset, especially for research evaluation and dataset preparation.

• Ability to work independently and collaboratively within an R&D environment.

• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).

• Exposure to computational geometry, 3D data processing, or CAD‑linked workflows.

• Familiarity with CATIA automation, APIs, or data extraction processes.

• Interest in research analysis, benchmarking, and experimental evaluation.

Work Environment

• Standard office environment and Robotics/Cobot Lab.

• The hourly rate for this position ranges from $24.50 - $28.50.

• Accommodations for disabilities in relation to the job selection process are available upon request.

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.