Intern Synthetic Data Generation for Autonomous Driving (f/m/x)

We focus on producing high-quality synthetic simulation data using advanced generative AI models to effectively train and validate machine learning algorithms within autonomous driving environments.

Responsibilities

You will support the advancement of synthetic data generation for autonomous driving; Furthermore, you help to develop and optimize advanced data generation and simulation models; In addition, you will assist with hands-on tasks using cutting-edge computer vision and latent diffusion models; Moreover, you contribute to impactful solutions for autonomous driving environments; Furthermore, you support the optimization of machine learning pipelines, architectures, and algorithms

Requirements

Studies in computer science, artificial intelligence, or a related field; Advanced expertise in machine learning and deep learning, both theoretical and practical; Proficiency in Python, PyTorch, and Huggingface; Hands-on experience with generative models, especially diffusion-based architectures; Skill in designing and optimizing machine learning training pipelines, model architectures, and data workflows; Experience in synthetic data generation and their challenges; Good German and English skills

Benefits

Comprehensive mentoring & onboarding; Personal & professional development; Flexible working hours; Mobile work; Attractive & fair compensation; Student apartments (subject to availability & only at the Munich location)