Apple
Speech Processing ML Algorithm Engineer
$150K–$278K
Cupertino, California · Full-time · Posted Aug 29, 2026
- Experience
- 3+ years in ML for speech processing as an alternative to an MS or PhD in a computational science field.
- Education
- MS or PhD in a computational science field, or equivalent experience is not stated.
About the job
Designs, trains, and evaluates low-latency speech enhancement models for Apple hardware, taking prototypes through production with cross-functional teams.
What you'll do
- Develop models for noise suppression, de-reverberation, echo suppression, and multi-microphone processing.
- Meet real-time hardware constraints, balancing audio quality, model complexity, and latency.
- Collaborate across teams to bring prototypes into production.
What they ask for
- MS or PhD in a computational science field, or 3+ years of experience in ML for speech processing.
- Experience designing, training, and evaluating speech enhancement models.
- Experience building low-latency, real-time models, including streaming and causal processing.
- Strong audio and speech signal-processing fundamentals; proficiency with PyTorch and Bash.
Nice to have
- Experience with adaptive-filter prediction and control, such as echo cancellation, active noise control, or adaptive beamforming.
- Familiarity with Lightning, Hydra, model-efficiency techniques, or high-performance cloud computing for model training.
Pay
$150,400 and $277,600 (base salary)
Tools
PyTorch, Bash, STFT, Lightning, Hydra, PESQ, STOI, SI-SDR
AI focus
Applied machine learning research and development for speech enhancement, including noise suppression, de-reverberation, echo suppression, and multi-microphone processing under low-latency, real-time constraints.
Model-written summary · the original posting is authoritative