Role overview
- Focus on model research, development and tuning
- Design, evaluate and select the ML models and underlying software architecture to be used in the next-generation automotive infotainment middleware
- Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
- Select and tune the best ML models and incorporating them in the wider automotive infotainment middleware software architecture
- Design training protocols together with the prompt engineering and model training experts
- Continuously improve software stack reflecting advancements in the field of ML
What you'll work on
- Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing
- Experience with state-of-the-art Transformer architectures (BERT, GPT-3, T5) and state-of-the-art LLMs (Gemini, GPT-4, Llama3, Mistral)
- Deep knowledge and experience in model training, model fine-tuning, evaluation of model performance and identifying areas for improvement
- Strong foundation of machine learning concepts and technologies
- Proficient knowledge of Python, C/C++, PyTorch, TensoFlow, Kerns
- Good written and verbal English communication skills
Tags & focus areas
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