Internship / Master Thesis - Multi-modal Large Language Models (f/m/d)
Internship / Master Thesis - Multi-modal Large Language Models (f/m/d)
Berlin, DE, 10587
Internship / Master Thesis - Multi-modal Large Language Models (f/m/d)
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
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. Your specific research topic will be centered around multi-modal large language models (MLLMs). The goal is to enhance environment perception and, potentially, action planning using MLLMs. As an optional extension, your work may be integrated into our AD/ADAS software stack and/or our 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
- Develop a method to improve environment perception, and, potentially action planning using MLLMs
- Conduct evaluation using public datasets
- Work closely with our PhD students and the model engineering team
WHO YOU ARE
- MSc studies in computer science, electrical engineering, or comparable fields
- Very good academic record (please attach your transcript in the application)
- Solid knowledge of machine learning and computer vision; experience with vision-language models, vision-language-action models and/or reinforcement learning is preferable
- Hands-on experience in software development, proficiency in Python and deep learning frameworks, preferably PyTorch
- Independent, highly motivated, and structured thinking
- Fluent in English
NICE TO KNOW
- Remote work options within Germany
- Duration: 6 months
- 35 h/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.
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
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. Your specific research topic will be centered around multi-modal large language models (MLLMs). The goal is to enhance environment perception and, potentially, action planning using MLLMs. As an optional extension, your work may be integrated into our AD/ADAS software stack and/or our 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
- Develop a method to improve environment perception, and, potentially action planning using MLLMs
- Conduct evaluation using public datasets
- Work closely with our PhD students and the model engineering team
WHO YOU ARE
- MSc studies in computer science, electrical engineering, or comparable fields
- Very good academic record (please attach your transcript in the application)
- Solid knowledge of machine learning and computer vision; experience with vision-language models, vision-language-action models and/or reinforcement learning is preferable
- Hands-on experience in software development, proficiency in Python and deep learning frameworks, preferably PyTorch
- Independent, highly motivated, and structured thinking
- Fluent in English
NICE TO KNOW
- Remote work options within Germany
- Duration: 6 months
- 35 h/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.
Berlin, DE, 10587