Intern Synthetic Data Generation for Autonomous Driving

About the Role

At BMW Group, innovation is driven by creativity and cutting-edge technology, with electronics and software accounting for over 90% of automotive advancements. As part of our team, you will engage in creating high-quality synthetic simulation data leveraging advanced generative AI models to train and validate machine learning algorithms tailored for autonomous driving scenarios.

Key Responsibilities

• Support the advancement and improvement of synthetic data generation techniques for autonomous driving applications.
• Assist in developing and refining sophisticated data generation and simulation models.
• Engage hands-on with state-of-the-art computer vision and latent diffusion models.
• Contribute to impactful solutions that enhance autonomous driving environments.
• Help optimize machine learning pipelines, model architectures, and algorithms.

Candidate Profile

• Currently pursuing studies in computer science, artificial intelligence, or related disciplines.
• Strong theoretical understanding and practical experience in machine learning and deep learning.
• Proficient in Python programming, PyTorch framework, and Huggingface tools.
• Experience with generative models, notably diffusion-based architectures.
• Competent in designing and optimizing training pipelines, model structures, and data processes for machine learning.
• Familiarity with the challenges and practices involved in synthetic data generation.
• Good command of both German and English languages.

Perks and Benefits

• Comprehensive mentoring and onboarding to support your growth.
• Opportunities for personal and professional development.
• Flexible working hours accommodating your schedule.
• Possibility for mobile work arrangements.
• Attractive and equitable remuneration.
• Student accommodation options available at the Munich site, subject to availability.

Additional Information

Start date: Earliest from May 1, 2026
Duration: 6 months
Working hours: Full-time
BMW Group is committed to equal opportunity and fair treatment in hiring, focusing on the applicant's personality, experience, and skills.