Machine Learning Engineer - Speech - Q
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on May 28, 2026. Apple scores A on the Alion truth index.
Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.
Description
We are seeking a passionate and experienced Machine Learning Engineer to join our team. In this role, you will push the boundaries of on-device speech recognition and NLP, working 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
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
Preferred Qualifications
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