Audio Machine Learning Engineer

Redefine the future of human-computer interaction and the way people communicate. Contribute to products that shape mobile computing and create breakthrough technologies in the audio domain. In this role, you will push the boundaries of audio solutions across the full stack - from data pipelines and model training to optimization for Apple silicon. You'll collaborate with world-class researchers and engineers to ship technology that reaches hundreds of millions of users, while upholding Apple's unwavering commitment to privacy. Minimum Qualifications BS or MS in CS, EE, or related degree 3+ years of industry experience in deep learning through applied research roles Deep understanding of Machine Learning fundamentals Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, or JAX) Collaborative skills for dependable and consistent steering of novel research alongside fellow teams Preferred Qualifications Ph.D. in CS, EE or a related field Advanced background and hands-on experience in speech ML technology (e.g., multi-modals, speaker embeddings, voice isolation, ASR, multichannel sensor fusion, generative speech) Background in digital signal processing (DSP) for audio signals Experience training large models using both supervised and self-supervised methods Track record of shipping ML features in a production environment