Working Student – Machine Learning (Audio) (f/m/d) Part-time

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