Artificial Intelligence (AI) Engineer Intern [IDA: 2025-00027]

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.

The Automotive group sector comprises technologies for passive safety, brake, chassis, motion and motion control systems. Innovative solutions for assisted and automated driving, display and operating technologies, as well as audio and camera solutions for the vehicle interior, are also part of the portfolio, as is intelligent information and communication technology for the mobility services of fleet operators and commercial vehicle manufacturers. Comprehensive activities relating to connectivity technologies, vehicle electronics and high-performance computers round off the range of products and services.

Job Description

As a team member of Research and Advanced Engineering team, you will be involved in the

software development of innovative system solutions in the field of artificial intelligence and machine learning in the automotive industry.

Intern would be working together with the innovation team in the following tasks:

• Collaborate with the team to preprocess and analyse large datasets, interact with sensor data.
• Apply statistical techniques to derive insights and support decision-making.
• Perform technical self-research to identify solutions and diagnostics for troubleshooting.
• Participate and contribute to brainstorming sessions.
• Document and present findings and progress to the team.
  
  

Qualifications

• Good knowledge and experience in software development, machine learning and AI.
• Proficiency in Python programming.
• Experience and familiar with machine learning libraries such as Keras, Scikit-learn, PyTorch, and TensorFlow.
• Understanding of data science concepts and basic statistics.
• Experience with data visualization tools and techniques.
• Knowledge of cloud platforms (e.g. AWS, Google Cloud) will be an advantage.
• Self-driven team player with hands-on mentality and willingness to learn.
• Good communication skills, fluent in English, both written and oral.
  
  

Additional Information

Ready to drive with Continental? Take the first step and fill in the online application.