Description

Research, develop, and tune machine learning models for next-generation automotive infotainment middleware.

Responsibilities

• Design, evaluate, and select ML models and underlying software architecture.
• Incorporate and tune selected models into the wider automotive infotainment software stack.
• Design training protocols in collaboration with prompt engineering and model training experts.
• Continuously improve the software stack to reflect advancements in machine learning.

Required Skills

• 5+ years of experience in NLP, Machine Learning, Deep Learning, and data preprocessing.
• Experience with Transformer architectures including BERT, GPT-3, and T5.
• Hands-on experience with LLMs such as Gemini, GPT-4, Llama3, and Mistral.
• Deep knowledge of model training, fine-tuning, and performance evaluation.
• Proficiency in Python, C/C++, PyTorch, TensorFlow, and Kerns.
• Strong foundation in machine learning concepts and technologies.
• Good written and verbal English communication skills.

Preferred Skills

• Experience with automotive infotainment systems.

Key Skills

Education

Any Graduate