Intern Synthetic Data Generation for Autonomous Driving (f/m/x)
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Intern Synthetic Data Generation for Autonomous Driving (f/m/x)
HybridEnglish
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data workflowssynthetic data generationlatent diffusion modelsHuggingfacePyTorchdiffusion-based architecturesPythondeep learningcomputer visionmodel architecturestraining pipelinesmachine learning
Job description
Some It Works. Some Changes What's Possible.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
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?
What do we offer?
Duration: 6 months
Working hours: Full-time
You can find helpful tips on your application and the application process here.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
Intern Synthetic Data Generation for Autonomous Driving (f/m/x)
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
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.
- 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.
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Student apartments (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/whatweoffer
Duration: 6 months
Working hours: Full-time
You can find helpful tips on your application and the application process here.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
Intern Synthetic Data Generation for Autonomous Driving (f/m/x)
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