Jobnummer:
54351en_US

Standort:
GRAZ

At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

Machine Learning & AI Engineer (m/f/d)

For our R&D Team in Graz, we are looking for a Machine Learning & AI Engineer (m/f/d).

In this exciting and challenging position, you are responsible for technology projects within the R&D team with a specific focus on AI technologies. The work consists of a range of technology readiness and project scope investigations requiring deep scientific research, prototyping, advanced development, application analysis and manufacturability.

Your Tasks

• Work on R&D projects for/with internal and external R&D departments, supplier companies, insti-tutions, and academia.
• Research latest advances in AI technology and algorithms in regards of automotive products & systems, software/data analytics methods and advanced manufacturing techniques
• Work with engineering tools to develop prototype and/or production intent solutions.
• Evaluate technologies and product designs with compliance to scientific principles, engineering- & software development principles, company standards and customer requirements.
• Support the development of innovative components or modules from initial concept through full development.
• Support the design, simulate, execute, and test Proof of Concept systems / programs

Your Profile

• Computer Science or Engineering background with proficiency in one (or more) common pro-gramming languages/environments (Python, Rust, C/C++, MATLAB etc.) and their application for Artificial Intelligence, Machine Learning & Data Analytics
• Familiarity with a variety of Machine Learning methods, their advantages & disadvantages, availa-ble libraries, and their areas of application
• Understanding of academic research in the field, ability to monitor publications and keep track of latest progress & development
• Awareness of global trends related to the automotive and mobility field
• AI method knowledge and preferably hands-on experience in at least one of the following fields:
• Computer Vision
• Sensor Data Fusion
• Advanced Data Analytics
• Data-Driven Decision Making / Behavior modeling

We offer

• Unique chance to apply science on automotive industry
• Possibilities for creativity and room for own ideas
• Corporate culture defined by innovation, involvement, and teamwork
• Long-term perspectives in an international company
• Attractive framework conditions for further training
• Profit participation in the company’s success
• Home office options and flexible working hours
• Employee and Family Assistance Program (childcare, health promotion, leisure and sports activities, benefits in everyday life)

The minimum annual remuneration package for this position is EUR 50.000,- with corresponding qualification. The actual salary is higher and depends on your education and specific work experience.

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

Apply on-line to join our talented R&D team and help Magna to stay ahead of the industry.

LI-Hybrid

Bewerben