Master Thesis Automated Generative AI Evaluation (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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Mental health support

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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

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

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Assessment

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Deadline

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Where they hire

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About this role

Master Thesis Automated Generative AI Evaluation (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, focus on benchmarking Generative AI and applying the latest advances in machine learning, computer vision, natural language processing, and human interaction. Our team of experienced AI developers works at the crossroads of AI, specifically Generative AI, machine learning, linguistics, and general computer science to turn science fiction into reality with industrial applications. What awaits you? You will support the development of intelligent and innovative evaluation systems for our in-car LLM and VLM-based systems using generative AI. Furthermore, you help design test scenarios, performance metrics, and validation protocols to assess natural language understanding, multi-agent coordination, Model Context Protocol (MCP) principles, and multimodal context inputs including audio and vision. In addition, your ideas will become an integral part of our product and process portfolios. Moreover, you will contribute to close collaboration with suppliers and internal teams to exchange in

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