Low-Latency Speech Processing ML Engineer

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products and services

Free services

Tuition reimbursement

Relocation

Job summary

Apple Inc. in Cupertino is seeking a Speech Processing ML Algorithm Engineer to design, train, and evaluate models for speech enhancement under strict low-latency, real-time constraints. You will push innovations in noise suppression, de-reverberation, and multi-microphone processing toward shipping hardware.

You will collaborate with hardware and software teams, iterate on prototypes, and ensure scalable, production-ready solutions that meet high quality, reliability, and efficiency standards.

Qualifications

• MS or PhD in a computational science field or 3+ years in ML for speech processing.
• Strong background in transformers, RNNs, CNNs for audio applications.
• Experience with low-latency, real-time speech enhancement models.
• Proficiency with PyTorch and Bash, version control, and reproducible experiments.
• Knowledge of PESQ, STOI, SI-SDR, DNSMOS and related evaluation methods.

Responsibilities

• Design, train, and evaluate speech enhancement models for low-latency applications.
• Collaborate with cross-functional teams to move prototypes to production.
• Develop robust data simulations and experiments to support evaluations.

Skills

Speech ML

Low latency

PyTorch

STFT

Audio signal processing

Research background

Transformers/RNNs/CNNs

Bash

Literature review

PESQ/STOI/SI-SDR/DNSMOS

Education

MS or PhD in computational science

Tools

Lightning

Hydra

Job description

Apple Inc. in Cupertino is seeking a Speech Processing ML Algorithm Engineer to design, train, and evaluate models for speech enhancement under strict low-latency, real-time constraints. You will push innovations in noise suppression, de-reverberation, and multi-microphone processing toward shipping hardware.

You will collaborate with hardware and software teams, iterate on prototypes, and ensure scalable, production-ready solutions that meet high quality, reliability, and efficiency standards.