Intern Synthetic Data Generation for Autonomous Driving
Munich, Bavaria, Germany · Paruh Waktu
Jadilah yang pertama mendaftar
- Pengalaman
- Setiap
- Gaji
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- Lowongan
- 1
- Diposting
- 1 hari yang lalu
- Mode kerja
- Di kantor
- Pendidikan
- Studies in Computer Science or Artificial Intelligence (ongoing)
- Kelayakan
- Suitable for students currently enrolled in relevant academic programs in computer science, artificial intelligence, or related fields.
- Melanjutkan
- Wajib mendaftar
Tempat Anda akan bekerja
Deskripsi pekerjaan
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.