Description

Support the development of audio-based machine learning models for automotive infotainment middleware.

Responsibilities

• Assist senior engineers in designing, training, and evaluating ASR, TTS, and audio ML models.
• Collect, analyze, and structure datasets for training, validation, and testing.
• Develop and test real-world user scenarios to improve in-car audio experiences.
• Assist in building and maintaining underlying software architecture.

Required Skills

• Currently enrolled in a Bachelor or Master program in Computer Science, Data Science, or equivalent.
• Hands-on experience with Speech Recognition, Speech Synthesis, and Audio Data Processing.
• Knowledge of Machine Learning, Deep Learning, Transformers, and Large Language Models.
• Practical experience in training, fine-tuning, validation, and evaluation of ML models.
• Proficiency in Python.
• Proficiency in C/C++.
• Experience with PyTorch.
• Experience with TensorFlow.
• Experience with Keras.

Key Skills

Education

Bachelor or Master student in the field of Computer Science, Data Science