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24Open Positions

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

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • Huggingface
  • generative models
  • diffusion-based architectures
  • machine learning training pipelines
  • model architectures
  • data workflows
  • synthetic data generation

Soft Skills

  • creative freedom
  • lateral thinking
  • teamwork
  • problem-solving

Job Description

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. What awaits you? * 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.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • German
  • English

Nice to Haves

  • computer vision
▶Apply Now

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