Intern Multimodal Agentic AI for In-car Voice Assistant (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)

$81,444 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

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

Role

Role function

Healthcare 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 Multimodal Agentic AI for In-car Voice Assistant (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. Our team at the BMW Group advances in-car AI at the intersection of academia and industry. You will collaborate with engineers and researchers to contribute to the future of automotive human-vehicle interaction using generative AI, building multimodal features for an intelligent personal voice assistant. What awaits you? You will help to research, prototype, and deploy LLM and GenAI features for an in-car voice assistant. Furthermore, you support building fast Python prototypes for multimodal interactions including speech, vision, and text in-vehicle with AI Agents. In addition, you contribute to exploring practical in-car use cases such as dialogue, context awareness, and multimodal data. Moreover, you will assist in testing, validation, and ensuring safety and compliance of automotive AI features. You help to adopt new GenAI tools as needed demonstrating fast learning and adaptability. What should you bring along? Studies in computer science, engineering, mathematics, physics, or a related field.

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