Position Description
As a Working Student – Machine Learning (Audio) you will support the Senior AI/ML Engineers in the design and evaluation of Automatic Speech Recognition (ASR) / Text-To-Speech (TTS) machine learning models.
In this role, you will:
- Support our Senior AI/ML Engineers in the design, training and evaluation of ASR/TTS/Audio ML models and underlying software architecture
- Collect, analyze, prepare and structure datasets for training, validation and testing state-of-the-art machine learning models and technologies to be used in the next-generation automotive infotainment middleware
- Create and test real-world user scenarios to elevate the future in-car experience across different car-lines worldwide
What you will need to succeed:
- Active study program as Bachelor or Master student in the field of Computer Science, Data Science or equivalent
- First hands-on experience with Speech Recognition, Speech Synthesis and Audio Data Processing
- Good knowledge in Machine Learning, Deep Learning, Transformer and Large Language Models
- Practical experience in training/fine-tuning, validation and evaluation of ML models
- Proficiency in Python, C/C++, Pytorch, TensorFlow, Keras