Internship / Working Student - Deep Learning for Computer Vision ADAS / AD (m/f/d)

It’s time to reshape automotive mobility for everyone!

At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We’re uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.

Join us at CARIAD and become part of an exciting journey to shape the future of mobility!

YOUR TEAM

To support our "Offline Perception" team, we are currently looking for an intern or a working student. In your role you get first-hand experience in specific auto-labeling tasks and will be an integral part of the team that works on the performance of our perception systems critical for autonomous driving.
You will work closely together with our experienced machine learning and cloud engineers to improve and deploy these models in our cloud environment using real-life multi-modal and temporal data from our data acquisition fleet.

WHAT YOU WILL DO

• Search for internal and publicly available foundation models or other state-of-the-art models and machine learning techniques that could be used to further enhance our auto-labeling capabilities.
• Apply and fine-tune these models to our own data from the Automated Driving Alliance.
• Evaluate its performance and compare it to other competing techniques.
• Experiment with applying the resulting auto-labels. For instance, to reduce human label effort, conduct automatic quality control or further enhance our perception performance inside our vehicles.

WHO YOU ARE

• Enrolled student in Artificial Intelligence or Computer Science or equivalent field (please specify the expected date of your graduation or end of enrollment).
• Up to date to current trends in AI, preferably in the context of computer vision and 3D point clouds.
• Familiar with machine learning libraries such as PyTorch, OpenMMLab and Tensorflow.
• Good programming skills in Python with knowledge on different design patterns.
• Familiar with software development tooling such as Git.
• Fluent in English (written and spoken).

NICE TO KNOW

• Remote work options
• Internship
  • Duration: 3 to 6 months
  • 35-hour week
• Working Student
  • Duration: 6 months
  • 20 h/week, up to 35 h/week during semester break
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology