M.Sc. in Computer Science or a related field, or equivalent practical experience Deep understanding of Machine Learning fundamentals Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, or JAX) 3+ years of industry experience in deep learning through applied research roles Hands-on experience with the full deep learning lifecycle at scale, including dataset curation, architecture design, distributed training, error analysis, and production deployment. M.Sc. in Computer Science or a related field, or equivalent practical experience Ph.D. in Computer Science or a related field Advanced background and hands-on experience in speech technology (e.g., ASR, TTS, speaker recognition) Background in NLP, including language modeling, text processing, and linguistic understanding Experience training large models using both supervised and self-supervised methods Track record of shipping ML features in a production environment
