Intern - Self-supervised Learning for Autonomous
vor 1 Woche
Intern - Self-Supervised Learning for Autonomous Driving Perception (M/F/d)
**Software Engineering**
**Student & Talent Programs**
- Ingolstadt
At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise. We’re uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud. Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.
Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.
It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey
**YOUR TEAM**:
Our "Onboard Fusion" Team is working on developing perception and sensor fusion algorithms for automated driving. We create perception models with data coming from different central modalities. In doing so, we process and integrate the different data to create a joined output. Our mission is to bring advanced computer vision and machine learning systems to challenging perception problems such as multi-sensor semantic segmentation to our customer cars.
We are looking for an intern to join us in bringing mobility within the VW group to the next level
**WHAT YOU WILL DO**:
- Develop key algorithms for Automated Driving Perception alongside the research members of the team.
- Investigate and present research findings at top-tier conferences on computer vision and Autonomous Driving.
- Collaborate with engineers and members across the brands in day to day tasks while getting exposure in the world of autonomous driving.
**WHO YOU ARE**:
- Bachelor's/ Master's degree in computer science, machine learning, computer vision or other equivalent field.
- Good to excellent academic records.
- Knowledge in machine learning.
- Experience with at least one of the following: self/semi-supervised learning, knowledge distillation, or neural radiance fields would be a big plus.
- Fluent in English (verbal and written).
**NICE TO KNOW**:
- Duration: 3 to 6+ months
- 35 hour working week
**YOUR RECRUITING CONTACT**:
Carmen Dörwald
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