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What we offer:Job Responsibilities:
Job Introduction:
Magna Corporate R&D in Troy, MI is seeking a talented, visionary, and self-motivated AI Engineer to be a part of the Factory of the Future Vision & Data Analytics Group, which will create new applications leveraging data analytics, AI and ML to improve overall efficiencies at Magna divisions. The ideal candidate will have broad and deep experience with theoretical approaches and practical implementations of data analytics, AI and ML methods, machine vision and deployment frameworks. They will understand the process of concept, design, build, and launch of these applications and the reporting process to various stakeholders. The ideal candidate will enjoy working in a culture that fosters creativity and problem solving. This position will play a key role in the Data Analytics Group and be a part of a tightly knit development team that creates, validates, and implements Factory of the Future solutions.
Major Responsibilities:
- Support the development and implementation of short- and long-term R&D objectives and technology roadmaps.
- Conduct research programs applying theory and principles of data analytics, AI and ML and machine vision. Guide programs and establish scientific and technical directions.
- Contribute to the development of novel algorithms and technology platforms, as well as the integration of systems & subsystems with different technologies and apply them internally at Magna divisions.
- Interface with SW engineering, product management, and/or program management to drive new product development programs from concept to production.
- Utilize software development and process tools for requirements management, architecture and design, modeling, simulation, testing, and configuration management and release management.
- Maintain project schedules by monitoring project progress, coordinating activities and sub-contracted work, estimating timing needs and hurdles, sequencing project elements, and resolving problems, thus assuring timely completion. Prepare and present project progress reports.
- Pursue education and/or training in data analytics and simulation technologies as fields evolve. Keep the organization abreast of program developments, new technical methods, and recommended changes warranted by such developments. Apply updated information to the Data Analytics Technology roadmap.
- Analyze research, third-party offerings, and competitor’s technologies to determine feasibility for Magna use.
- Comply with the designated ISO / TS 16949 responsibilities, Health & Safety (H&S) rules and practices, and Magna policies, procedures, and practices.
- Perform any other duties, special projects, and tasks as assigned
Knowledge and Education:
- BS/MS/PhD in electrical, mechanical, computer engineering, computer science or equivalent progressive experience in discipline with appropriate focus
- Advanced knowledge of Python, SQL and other common programming languages
- Understanding of ROS/ROS2 & robotics frameworks
- Experience with AWS, Azure environment and tools for data ingestion, cleaning, processing, deployment and monitoring
- Familiar with ML frameworks and popular packages such as Caret (R), Scikitlearn, TensorFlow, Flask (Python), Docker, Git,
- Experience with model deployment as API (REST/SOAP) and configuration of the API
- Familiar with MLops tools such as MLflow, Kubeflow, TFX, etc
- Experience with tools and data ingestion protocols – MQTT, OPC, etc;
- Experience with machine vision tools, libraries and methods
- Experience with PowerBI, Tableau, Grafana for visualization and BI
- Knowledge of Manufacturing Process, Assembly methods and materials used in automotive products
Work Experience:
- Minimum 2-3 years in a related area, or equivalent combination of education/experience in the field of applied machine learning, AI, computer engineering or similar
- Functional knowledge of data analytics in a manufacturing environment
- Functional experience working with static and dynamic, structured and unstructured data in manufacturing environment
- Experience with industrial control systems, specifically automotive line control applications
- Understanding of Magna manufacturing and assembly processes
Skills and Competencies:
- Strong spoken and written English language skills. Additional languages skills desired (German, Spanish, etc.)
- Ability to apply advanced principles, theories, and concepts, and contribute to the development of solutions to complex problems that require innovation and ingenuity
- Ability to recognize new science and technologies relevant within existing trends and business strategy and extend them into new applications
- Technical ability and creativity to initiate, and manage specific projects with diverse stakeholders
- Ability to contribute to a performing team
Work Environment:
- While performing the duties of this job, the employee is regularly required to talk and hear and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
- Ability to travel domestic and international up to 25%
- Responsible for working in compliance with the provisions of the Health and Safety Act as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
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.
Skills Required
- Bachelor’s, master’s, or doctoral degree in electrical engineering, mechanical engineering, computer engineering, computer science, or equivalent progressive experience
- Advanced knowledge of Python, SQL, and other common programming languages
- Understanding of ROS/ROS2 and robotics frameworks
- Experience with AWS and Azure environments and tools for data ingestion, processing, deployment, and monitoring
- Experience with machine learning frameworks and packages such as Caret, Scikit-learn, TensorFlow, Flask, Docker, and Git
- Experience deploying machine learning models as REST or SOAP APIs
- Familiarity with MLOps tools such as MLflow, Kubeflow, or TFX
- Experience with data ingestion protocols such as MQTT and OPC
- Experience with machine vision tools, libraries, and methods
- Experience with Power BI, Tableau, or Grafana
- Knowledge of manufacturing processes, assembly methods, and materials used in automotive products
- Minimum 2–3 years of experience in applied machine learning, AI, computer engineering, or a related field
- Functional knowledge and experience with data analytics and structured and unstructured data in manufacturing environments
- Experience with industrial control systems, particularly automotive line control applications
- Understanding of Magna manufacturing and assembly processes
- Strong spoken and written English skills
- Additional language skills such as German or Spanish
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, vision, prescription, disability, and life insurance are widely offered, and feedback suggests the core medical coverage and provider access are strong with solid plan options. These elements are consistently cited as a standout of the overall package.
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Retirement Support — A 401(k) with company matching and, in some cases, profit sharing are described as part of the U.S. offering. Feedback suggests these programs add meaningful long‑term value to total compensation.
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Strong & Reliable Incentives — Performance bonuses, quarterly bonus checks, and profit‑sharing programs are frequently referenced across locations. Feedback suggests these incentives can materially boost overall earnings when available.
Magna International Insights
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What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
