Du erhältst spannende Einblicke in den virtuellen Designprozess und erforschst, wie GenAI Ingenieuren helfen kann, komplexe Teile zu gestalten. In enger Zusammenarbeit mit IT und Engineering entwickelst du kreative Lösungen und präsentierst die Ergebnisse eigenständig.
Anforderungen
- •Master or advanced Bachelor's studies in Mathematics, Computer Science or comparable qualification
- •Knowledge and first practical experience in programming, machine learning, and deep learning
- •Familiarity with Large Language Models and experience in LLM-based solutions
- •Experience in Generative Modeling for 2D/3D shape generation and evaluation methods
- •Strong Python programming skills with Scikit Learn, OpenCV, and NumPy
- •Knowledge in Tensorflow or PyTorch
Deine Aufgaben
- •Einblicke in den virtuellen Designprozess gewinnen
- •GenAI-Potenziale für Ingenieure erkunden
- •GenAI-Engineering mit konventionellen Prozessen vergleichen
- •Eng mit IT und Engineering zusammenarbeiten
- •Ideen in effektive Lösungen umsetzen
- •Ergebnisse selbstständig präsentieren
- •Teil eines agilen Projektteams in München sein
Deine Vorteile
Umfassendes Mentoring
Persönliche und berufliche Entwicklung
Flexible Arbeitszeiten
Digitale Angebote und mobiles Arbeiten
Faire Vergütung
Wohnmöglichkeiten für Studenten (nach Verfügbarkeit & nur München)
Original Beschreibung
# Internship GenAI Model Evaluation using Large Multimodality Models (f/m/x)
**A GOOD INTERNSHIP IS NEVER HANDS OFF.**
**SHARE YOUR PASSION.**
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We, the BMW Group, offer you an interesting and varied internship in the field of using GenAI for evaluating synthesic structures in the context of Generative Design.
**What awaits you?**
* You gain insight into the car virtual design process at BMW and explore real applications of GenAI-driven engineering.
* You explore the potential of GenAI in co-piloting engineers in designing complex parts.
* You compare GenAI-driven engineering with conventional development processes.
* You work closely with IT and engineering counterparts to turn ideas into effective solutions and independently present your results.
* The collaboration in an agile project organization as part of a Munich-based feature team completes your profile.
**What should you bring along?**
* Master or advanced phase of Bachelor Studies in Mathematics, Computer Science, or a comparable qualification.
* Knowledge of and first practical experience in programming, machine learning, and deep learning.
* Familiarity with Large Language Models and experience in designing and implementing LLM-based solutions.
* Experience in Generative Modeling for 2D/3D shape generation, especially evaluation methods.
* Strong Python programming skills, including libraries like Scikit Learn, OpenCV, and NumPy.
* Knowledge in one or more Deep Learning frameworks like Tensorflow or PyTorch.
* Team spirit, communication skills, and good English language skills.
You enjoy working in an international team? Apply now!
**What do we offer?**
* Comprehensive mentoring & onboarding.
* Personal & professional development.
* Flexible working hours.
* Digital offers & mobile working.
* Attractive & fairly remuneration.
* Apartment offers for students (subject to availability & only Munich).
* And many other benefits.
Earliest starting date: from 06/09/2025
Duration: 6 months
Working hours: Part-time or full-time