Internship / Master Thesis - Latent Predictive World Models for End-2-End Autonomous Driving(m/w/x)

# Internship / Master Thesis - Latent Predictive World Models for End-2-End Autonomous Driving (f/m/d) ## YOUR TEAM We offer you an exciting opportunity for your master thesis or for an internship in our ADAS/AD Pre-Development team in in the field of model engineering for autonomous driving. For the following topic you get the responsibility: latent predictive world models. The aim of this master thesis / the internship is to assess the current research on latent world models, to evaluate how they can be employed and to integrate a pre-trained model in our AD/ADAS stack and/or learning environment. The department works on software and machine learning models for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of self-driving vehicles working in an agile environment to advance the autonomous driving stack. ## WHAT YOU WILL DO * Research and assess the state-of-the-art of latent world models for autonomous driving * Finetune existing world models on automotive datasets for latent state forecasting * Conduct extensive experiments on public and internal datasets * Assess the usage of world models for end-2-end motion planning and closed-loop training * Work closely with our PhD students and the model engineering team ## WHO YOU ARE * Enrolled Master student in the area of Computer Science, Robotics, Electrical Engineering or similar * Very good academic performance * Good general knowledge in the field of (self-)supervised learning, transformer-based architectures, and (vision) foundation models * Very good knowledge of machine learning frameworks such as PyTorch * Applied knowledge in software development and programming in Python and C++ * Structured and independent work, above-average commitment and flexibility * Strong communication skills and analytical understanding ## NICE TO KNOW * Remote work options within Germany * Duration: 6 months with the option to extend * 35-hour week At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.