Corporate Cafeteria jobs in Toronto, ON

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What we offer:

Group Summary:

This role involves testing AI models and software for diverse use cases using various methodologies. The incumbent will generate ground truth data, develop reference materials and annotated datasets, and build a robust testing framework to ensure high quality standards. Key tasks include engaging with internal customers to identify challenges, creating impactful solutions, and collaborating with universities and external partners to drive innovation and successful project outcomes. In addition, the role supports the R&D project team engineers and researchers by providing technical evaluation of technologies being considered by Magna.

Your Responsibilities

• Salary: $95,000 - $145,000, annual salary
• Immediate, open position
• Evaluate technologies and product designs to ensure they align with scientific and engineering principles, company standards, customer needs, and relevant specifications.
• Support the creation of innovative components and modules from conceptualization through all stages of development, including design engineering, validation, prototyping, testing, and assessing both production feasibility and business cases.
• Design and execute research programs by applying fundamental concepts in mechanics, thermodynamics, hydraulics, electronics, heat transfer, and materials science.
• Foster teamwork by contributing creative ideas for new products and processes, and by sharing information with colleagues.
• Compare experimental results with simulation data for consistency and validation.
• Oversee the innovation project timeline by tracking overall progress, coordinating efforts, estimating time requirements, sequencing tasks, and resolving any arising issues.
• Clearly define and manage outsourced work—such as software development, prototyping, validation, and testing—ensuring it is completed on schedule.

Who we are looking for

• Bachelor's or higher degree in Engineering including but not limited to: Computer Science, Electrical, Aerospace, and Robotics. Automotive OEM or Tier-1 experience preferred.
• Comprehensive understanding about automotive technology
• Good understanding of basic engineering principles and physics
• 3+ years of recent, in-depth, hands-on experience in a relevant field in the automotive industry

Your preferred qualifications

• Proficient in handling training and validation data, segmentation and annotation process
• Proficient in programming python
• Proficient in machine learning and AI frameworks such as Tensorflow, Keras, PyTorch, …
• Experience in github continuous integration and testing
• Experience in prompting technics
• Experience in frontend web development (next.js, react,…)
• Experience in cloud deployment (docker, azure, aws,…)
• Proficient in agentic AI frameworks such as crewai, langgraph, ...
• Ability to travel domestic and international – 10% percent of the time.

Please Note

• Accommodations for disabilities in relation to the job selection process are available upon request.
• Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.

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.

In addition, we offer you the following site benefits:

• Hybrid work policy
• Wellness programs and events
• On-site cafeteria
• Parking for electric vehicles
• Access to private park for employees & their families

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.