Intern AI and Visual Computing

Internship Opportunity in AI and Visual Computing

About the Role

Join the BMW Group as an intern in the exciting field of Artificial Intelligence and Visual Computing. This internship offers a unique opportunity to work on cutting-edge technologies in AI, Machine Learning, Computer Vision, and Geometric Deep Learning. You will be part of a team that is developing intelligent tools to enhance product engineering and vehicle development.

Key Responsibilities

• Gain insights into developing new technologies for virtual vehicle development at BMW.
• Support the building of proof of concept pipelines using deep neural networks and advanced visualizations.
• Develop novel methods using AI to optimize product development.
• Engage with a young and motivated team at the BMW Research and Innovation Center (FIZ) in Munich.
• Conduct research-oriented work with the possibility of a follow-up master thesis.

What We Are Looking For

• Currently studying data science, computer science, engineering, physics, mathematics, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks like PyTorch.
• Theoretical knowledge of machine learning, deep learning, and optimization.
• Experience with 3D data such as point clouds or meshes is a plus.
• High degree of personal initiative and a strong drive to innovate.
• Business fluent in English; German is a plus.

What We Offer

• Comprehensive mentoring and onboarding.
• Opportunities for personal and professional development.
• Flexible working hours and digital offers for mobile working.
• Attractive remuneration and apartment offers for students (subject to availability and only in Munich).
• And many other benefits.

Diversity and Inclusion

At BMW Group, diversity and inclusion are seen as strengths for our teams. We are committed to equal opportunities and the equal treatment of applicants and employees. Our recruiting decisions are based on personality, experience, and skills.

Additional Information

• Earliest starting date: from 11/18/2024
• Duration: 6 months
• Working hours: Full-time

If you are enthusiastic about new technologies and an innovative environment, apply now!