Internship / Thesis - Visual Perception and Ai

Vor 4 Tagen


Berlin, Deutschland CARIAD SE Vollzeit

Internship / Thesis - Visual perception and AI Safety (M/F/d)

**Innovation & Cooperation**

**Student & Talent Programs**
- Berlin, Ingolstadt, Munich

At CARIAD, it’s our mission to transform automotive mobility for everyone, everywhere, making it safer, more sustainable, and more comfortable in every way. To deliver on that promise, we’re building a unified technology and software platform, including a vehicle OS and cloud platform, as well as a unified architecture. As a 100% subsidiary of the Volkswagen Group, we’re developing solutions for all of its brands, including Volkswagen, Audi, and Porsche, and will bring our software to over 40 million vehicles by 2030.

Is this an easy task? Not at all To tackle such a huge challenge, we need a great team. And that’s where you come in. You’ll join more than 6,000 CARIDIANS already working on the latest vehicle features and functions like automated driving, state-of-the-art charging technology, as well as a new digital ecosystem. Together, we’re bringing sustainable change to one of the largest companies in the world.

**YOUR TEAM**:
We are looking for an intern or thesis student for an AI Safety project. You will be part of a 6 person team with the focus to get ideas coming alive by creating proof of concepts. A good theory is not enough, we want to get it as a functional demonstrator. Our project structure is agile and the spirit of the team is to find solutions by thinking "out-of-the-box". The team is mainly but not only located in Ingolstadt and we are operating 2 vehicles to demonstrate new in vehicle functionality.

**WHAT YOU WILL DO**:

- Support one of our PhD students in the field of Visual Perception and AI Safety
- Study and summarize research literature related to your research project
- Implement promising approaches in our software environment
- Develop algorithmic ideas addressing open research challenges related to your topic
- Conduct comprehensive experiments on internal as well as public datasets

**WHO YOU ARE**:

- Enrolled student in computer science, data science, robotics or similar field
- Profound knowledge in machine learning, especially deep neural networks
- Proficiency in Python and deep learning frameworks (PyTorch, OpenCV, scikit-learn)
- Nice to Have: Experience in perception tasks like object detection, semantic segmentation and/or AI Safety
- Analytical understanding of complex systems and problem-solving skills
- Structured and independent work, above-average commitment and flexibility
- Fluency in written and spoken English and German

**NICE TO KNOW**:

- Duration: 3 to 6 months
- 35-hour week
- Remote work options

**YOUR RECRUITING CONTACT**:
Sandra Neumeier

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