DIE ZUKUNFT DER MOBILITÄT? DIGITAL.
TEILE DEINE LEIDENSCHAFT.
Mehr als 90 % aller Innovationen im Automobil basieren auf Elektronik und Software. Gerade hier sind große Freiräume und vernetztes Denken gefordert, um die Mobilität neu zu erfinden und ein völlig neues Fahrerlebnis zu ermöglichen. Deshalb geben wir Studierenden bei uns nicht nur die Gelegenheit zum Zuhören, sondern auch zum Mitreden und Weiterdenken.
As a Machine Learning Engineering Intern at BMW R&D, you will develop innovative AI products to address real-world challenges in the automotive industry. You will collaborate with experts, immerse yourself in cutting-edge technologies, and play a vital role in BMW's digital transformation journey.
What awaits you?
Join BMW R&D team as a Machine Learning Engineering Intern, where you will drive the future of mobility by working on innovative AI products designed to solve challenging real-world problems. In this role, you will focus on data and machine learning engineering, as well as deployment. You will gain insights into the automotive industry's unique challenges and collaborate with our seasoned experts to harness the full potential of digitalization and AI. As part of our commitment to innovation, you will be exposed to the latest technologies and methodologies. Become a key player in shaping the digital transformation of one of the world's leading automotive brands.
What should you bring along?
What do we offer?
You are enthused by new technologies and an innovative environment? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
Earliest starting date: 01.04.2024
Duration: 6 months
Working hours: Vollzeit
Contact:
BMW Group HR Team
+49 89 382-17001