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Internship​/Masters Thesis - Meta-Reinforcement Learning Vehicle Functions; m​/f​/d - Inklusiver

in 71297, Mönsheim, Baden-Württemberg, Deutschland
Unternehmen: CARIAD
Vollzeit, Praktikum/Lehre position
Verfasst am 2026-03-01
Berufliche Spezialisierung:
  • Ingenieur
    Robotik, Automobilingenieur, Data Science Manager, Software-Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 13.9 EUR pro Stunde EUR 13.90 HOUR
Stellenbeschreibung
Stellenbezeichnung: Internship / Masters Thesis - Meta-Reinforcement Learning for Vehicle Functions (m/f/d) - Inklusiver Job
Location: Mönsheim

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
Forthe department

Vehicle, Energy, Motion & Body (VEMB) we are looking for astudent(intern or master thesis) for the project "Learning Intelligent Onboard Functions".Our department develops advanced software for vehicle energy, motion, and body systems. Our VEMB pre-development team works on methods for end-to-end learning of VEMB functions to enable faster,scalableand more cost-effective product development. We cover the entire development range, frominitialconcepts to proof of concepts in test vehicles.

Thereby, we workin close cooperation with theseriesdevelopment departments.

WHAT YOU WILL DO

  • Collaborate closely withthe

    PhD candidates to addressthekey challenges in Reinforcement Learning, with a focus on VEMB functions
  • Review the state of the art in Meta Reinforcement Learning
  • Select, implement, and adapt a suitable Meta RL method, including training and tuningtheagent
  • Design and execute experiments (e.g., baselines, ablations, robustness checks) to validate performance
  • Publication of research results is desired
  • Collaborate with teams in pre-development and series development

WHO YOU ARE

  • Enrolled studentinthearelevant field:

    Computer Science,Robotics, Electrical Engineering, Mechanical Engineering,etc.
  • Knowledge in control design and Reinforcement Learning
  • Experience in Python and with machine learning frameworks such as PyTorch, Jax, etc.
  • Hands-on experience through real-world projects, such as student projects, internships, or prior work experience
  • Strong analytical and problem-solving skills
  • High level of commitment, initiative, and teamwork
  • Fluency in English and German and good communication skills

NICE TO KNOW

  • Remote work options within German
  • Duration: 6 months
  • 35-hour week
  • Salary: 13,90 €/hour

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 - we are happy to support you.

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