Internship - Reinforcement Learning Research For Autonomous Driving (Automotive)

TL;DR

Reinforcement Learning Research Intern (Automotive): Developing and researching RL algorithms for ADAS and autonomous driving with an accent on multi-agent self-play and function development. Focus on implementing cutting-edge research challenges and creating Python-based benchmarking tools.

Location: Munich, Germany (Remote options available only within Germany)

Salary: 13,90 €/hour

Company

hirify.global is the automotive software company of the Volkswagen Group, developing software platforms and digital functions for brands like Audi, Volkswagen, and Porsche.

What you will do

• Support the ADAS research team in function development.
• Collaborate with PhD candidates on reinforcement learning algorithms.
• Tackle cutting-edge research challenges in autonomous driving, such as multi-agent self-play.
• Develop Python scripts for benchmarking and API development.

Requirements

• Enrolled student in Robotics, Computer Science, or a related field.
• Research experience in reinforcement learning and deep learning.
• Ambition to publish in top-tier robotics and autonomous driving conferences.
• English: Fluent (C1) required.
• Location: Must be based in or able to work within Germany.

Nice to have

• Availability for a duration of 3 to 6 months.

Culture & Benefits

• Creative and hands-on environment focused on solving complex problems.
• Opportunity to contribute to the future of mobility for global automotive brands.
• Inclusive work environment that values individuality and diversity.
• Standard working week of 35 hours.