Intern LLM-enhanced in-vehicle personal assistants (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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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering 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

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Intern LLM-enhanced in-vehicle personal assistants (f/m/x) Location not specified A GOOD INTERNSHIP IS NEVER HANDS OFF. SHARE YOUR PASSION. We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. 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. Our team at the BMW Group develops innovative in-vehicle personal assistants using multimodal large language models. We explore how voice assistance and graphical user interfaces can work together to enhance the in-car user experience and create seamless Human-AI interaction. What awaits you? You will support core development activities using Python, incorporating LLM libraries and Pydantic for enhanced functionality. Furthermore, you contribute to the platform across multiple programming languages and frameworks, including Android Automotive and Azure Pub/Sub. In addition, you help solve complex problems and devise innovative solutions to enhance the MLLM capabilities of our in-vehicle personal assistant. Moreover, you will assist in planning and executing user studies with prototypes to validate concepts. What should you bring along? Studies in computer science, media informatics or a related field. Strong proficiency in Python. Experience with Android development using Kotlin or Java. Knowledge and experience with Azure or other cloud platform deployme

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