Continental’s Automotive group sector is on an exciting journey to become AUMOVIO. With ~93,000 employees worldwide and annual sales of ~€20 billion, we are embracing a bold new era – and you have the opportunity to be part of it from early on!
This position offers a unique chance to actively shape the foundation of AUMOVIO, help define our culture from the start and play a key role in driving the future mobility. Are you ready to turn the page and start an exciting new chapter with us?
Your tasks
For our Berlin location, we are looking for an intern (m/f/diverse) for a duration of at least 3 months in the AI Lab, starting as soon as possible.

Your tasks include:

• Develop and evaluate feature-level augmentation techniques (e.g., latent interpolation, distribution calibration) to improve recognition of rare or underrepresented driver activities
• Design robust and generalizable models using self-supervised learning and domain adaptation strategies to handle real-world challenges.
• Benchmark and interpret model performance to validate the impact of augmentation
• Collaborate with our team on potential follow-up research projects

Your profile

• Students of a technical course such as Computer Science, Machine learning, Artificial Intelligence, Statistic, Mathematics, Mechatronics
• Well versed in Python, PyTorch and Machine learning models (CNN, Transformers)
• Self-supervised learning, representation learning
• Basic knowledge of German and fluent English language skills (written and spoken)
• Learning ability and analytical thinking
• Results orientation, independence and motivation

Please remember to upload your current enrollment certificate, your latest transcript, and an excerpt from the current study regulations regarding the completion of a mandatory internship, as these are essential for processing your application!
If necessary, please submit a valid residence permit and your work permit, including the supplementary sheet.
Applications from severely handicapped people are welcome.

Our offer

• The AI Lab Berlin is part of Continental’s central research and pre-development and will be responsible for enabling the use of artificial intelligence in future products of our company. With our team of currently 25 employees, we take advantage of the opportunity to actively participate in the latest developments in this research field in a co-working space. This novel concept for Continental also involves several organizational challenges, and there are various areas where you can assist us. You will get to know the corporate structure, work in a highly motivated team, and maintain agile exchanges with start-ups, established companies, and universities. Working at the AI Campus in Berlin means being part of a highly motivated team focused on artificial intelligence. In one of Germany’s centers for AI, it is our vision to be at the forefront of research by seeking open exchange with the community. Numerous presentations, meetings, and discussions, as well as various team events, ensure a rapid exchange of information. In our newly established team, consisting mainly of PhD students, we maintain a harmonious working atmosphere with relaxed collaboration and exchange. Despite this inviting culture of collaboration, we offer sufficient flexibility in working hours and location. See you at the campus!Do you want to accelerate with us? Take off and !

Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
About us
Continental’s Automotive group sector is expected to be listed as independent company “AUMOVIO” in September 2025. With ~93,000 employees worldwide and annual sales of ~€20 billion, we are entering an exciting new era.
AUMOVIO stands for highly developed electronic products and modern mobility solutions. In addition to its strong market position with innovative sensor solutions, displays, and technologically leading braking and comfort systems, AUMOVIO has significant expertise in software, architecture platforms and assistance systems for the rapidly growing future market of software-defined and autonomous vehicles. Our purpose is clear: to make future mobility safe, exciting, connected, and autonomous.

• Develop and evaluate feature-level augmentation techniques (e.g., latent interpolation, distribution calibration) to improve recognition of rare or underrepresented driver activities
• Design robust and generalizable models using self-supervised learning and domain adaptation strategies to handle real-world challenges.
• Benchmark and interpret model performance to validate the impact of augmentation
• Collaborate with our team on potential follow-up research project