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

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Intern Synthetic Data Generation for Autonomous Driving (f/m/x) Location not specified 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? 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. What should you bring along? 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

Read the full description at www.bmwgroup.jobs. FewerJobs shows a preview and links to the original posting.