Intern AI Synthetic Data Generation (f/m/x)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• 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 AI Synthetic Data Generation (f/m/x) Location not specified THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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, the BMW Group, bring new, innovative, and emerging technologies to industrialization in our IT department Innovation, Emerging Technologies at the IT Technology Office Munich. Our core tasks include technology scouting and the continuous development of our processes, products, and services. We establish new technologies profitably in all business areas and create sustainable added value for our customers and the BMW Group. What awaits you? You will support the development of AI synthetic data approaches for our open-source AI solutions. Furthermore, you will learn how to use and program Google Gemini. In addition, you assist in implementing custom data processing pipelines for AI-based synthetic data generation. Moreover, you contribute to conducting literature reviews for machine perception. What should you bring along? Studies in economics, engineering, computer science, design, or a comparable field. Knowledge in AI, deep learning, Python, NLP, and LLM. Curiosity and motivation to familiarize

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