Internship/ Master Thesis- Vision-language Models - Munich, Deutschland - CARIAD SE

CARIAD SE

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

PraktikumSHIP

Beschreibung

Internship/ Master Thesis

Vision-Language Models for Domain Generalized Dense Perception (M/F/d)

AI / Data Platform

Student & Talent Programs

Munich, 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 "AI/ Data Platform" department is looking for an intern or a master thesis student to support us on a research project in the area of camera-based perception for autonomous driving.

We are a diverse team of AI experts distributed across Germany and work together with the different brands within CARIAD and the VW Group to develop AI-based products.

In this research project you will get involved in investigating and developing the state-of-the-art algorithms for domain generalized dense perception.

Through this research, new methods will be introduced in the context of vision-language models (VLMs), which will take mobility to the next level.

WHAT YOU WILL DO:

Support the camerabased perception domain area to promote autonomous driving
Implement and evaluate recent research methods in the area of deep learning and unsupervised domain adaptation/domain generalization for automated driving
Conceptualize, develop, implement and evaluate stateoftheart algorithms for visionlanguage models based on your own ideas
Setup cloudbased environments and pipelines and run machine learning experiments using common machine learning frameworks, such as PyTorch

WHO YOU ARE:

Enrolled student in Computer Science / Machine Learning / Electrical Engineering / Physics or equivalent field
Demonstrated interest in automated driving technologies
Experience with deep learning and deep learning frameworks like TensorFlow or PyTorch
Very good programming skills, especially in Python
Experience with cloud computing
Fluent in English
Organized and independent working style

NICE TO KNOW: