Master Thesis in Generative AI Benchmarking
vor 2 Monaten
Unlock the Potential of Generative AI
The BMW Group is seeking a highly skilled Master's thesis student to join our team and work on a cutting-edge project in Generative AI benchmarking. As a key member of our team, you will be responsible for developing advanced algorithms and applications to evaluate the performance of systems based on Generative AI in the context of in-car human-machine interaction.
Key Responsibilities:
- Develop and implement advanced benchmarking algorithms for evaluating the performance of Generative AI systems.
- Collaborate with our team of experienced AI developers to integrate your work into our existing projects.
- Conduct thorough research and analysis to identify areas for improvement in our current AI systems.
Requirements:
- Bachelor's degree in electrical engineering, computer science, mathematics, physics, engineering, computational linguistics, or a comparable qualification.
- Excellent programming skills in Python 3, with substantial experience in TensorFlow or PyTorch, Sklearn, Docker, Spacy, and OpenCV.
- Practical knowledge of deep-learning techniques and frameworks, with a focus on natural language processing and/or computer vision.
- Business-fluent English, with German proficiency a plus.
What We Offer:
- Comprehensive mentoring and onboarding.
- Personal and professional development opportunities.
- Flexible working hours and digital offers.
- Attractive remuneration and apartment offers for students (subject to availability).
- A dynamic and international team environment.
About the BMW Group:
We are a leading global premium automotive company, committed to innovation and excellence in all aspects of our business. Our team is passionate about pushing the boundaries of what is possible with AI and machine learning, and we are seeking talented individuals to join us on this journey.
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