Internship Neural Architecture Search Reinforcement Learning (f/m/d)

at  Volkswagen

INTERNSHIP NEURAL ARCHITECTURE SEARCH REINFORCEMENT LEARNING (F/M/D)

Job ID: 9835
Company: Volkswagen AG
Location:Wolfsburg, DE, 38436
Department: Research and Development
Career Level: Interns
Working Model: Full-time
Contract Type: Fixed-term
Remote Working: Up to 40%
Posting Date: Sep 26, 2024

QUALIFICATION REQUIREMENTS

• Students of Data Science, Computer Science, Computational Science, Mathematics or a comparable field of study
• Proof of good programming skills (e.g. in Python, C#)
• Hands-on experience in the field of machine learning (ML)
• Hands-on experience in developing ML and optimization algorithms
• Experience in reinforcement learning is an advantage Basic-knowledge of Unity3D’s simulation software is an advantage
• Ability to work independently on a scientific topic
• German and/or English level B2

QUALIFICATION REQUIREMENTS

• Students of Data Science, Computer Science, Computational Science, Mathematics or a comparable field of study
• Proof of good programming skills (e.g. in Python, C#)
• Hands-on experience in the field of machine learning (ML)
• Hands-on experience in developing ML and optimization algorithms
• Experience in reinforcement learning is an advantage Basic-knowledge of Unity3D’s simulation software is an advantage
• Ability to work independently on a scientific topic
• German and/or English level B2

VOLKSWAGEN - THAT’S WHY

We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?
Go to our career website

POSSIBLE TASKS WITHIN THIS ROLE

• Advise and support you in implementing advanced machine learning models
• Optimization with the help of artificial intelligence, with a focus on the development of deep reinforcement learning models for automated driving applications
• Optimize hyperparameters and network architectures using various optimization algorithms
• Explore and compare different modeling approaches to improve performance and automate optimization processes
• Solve complex mathematical problems, formulate and present hypotheses to influence solution design

POSSIBLE TASKS WITHIN THIS ROLE

• Advise and support you in implementing advanced machine learning models
• Optimization with the help of artificial intelligence, with a focus on the development of deep reinforcement learning models for automated driving applications
• Optimize hyperparameters and network architectures using various optimization algorithms
• Explore and compare different modeling approaches to improve performance and automate optimization processes
• Solve complex mathematical problems, formulate and present hypotheses to influence solution design