The primary focus of the Audio ML Algorithm Engineer is to:- Develop ML training pipelines- Be comfortable with scalable data preprocessing and model evaluation
Research experience in speech and audio algorithm development using machine learning (released product features, patents, papers, etc.)
Fluency in python/PyTorch, common software engineering practices, and version control
Experience developing real-time speech and audio processing software
MS/PhD in Computer Science or Electrical Engineering
Experience with on-device models and firmware constraints
Familiarity with psycho-acoustics, speech, and language modeling
Experience with perception or audio understanding
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.