The Speech Processing ML Algorithm Engineer will join Apple's Acoustics ML Algorithm Development team, focusing on advancing speech enhancement technologies. This role involves designing, training, and evaluating machine learning models to improve audio experiences in Apple hardware. The engineer will work closely with cross-functional teams to transition prototypes into production. The emphasis will be on low-latency processing applications, ensuring high-quality audio output for millions of users.

• MS or PhD in a computational science field or 3+ years of experience in ML for speech processing.
• A passion for audio ML research with a deep understanding of transformers, recurrent and convolutional neural networks.
• Experience designing, training, and evaluating machine learning models for speech enhancement.
• Strong grounding in audio and speech signal processing fundamentals.
• Proficiency with PyTorch and Bash, including version control and reproducible experiments.
• Working knowledge of speech quality evaluation metrics and subjective listening tests.
• Experience applying machine learning to adaptive filter prediction and control.
• Familiarity with model efficiency techniques such as quantization-aware training.
• Experience in high-performance cloud computing for model training.

• Design, train, and evaluate models for speech enhancement applications.
• Collaborate with cross-functional teams to bring prototypes to production.
• Focus on features that improve customer experience across speech, music, and general audio.
• Ensure models meet low-latency, real-time requirements for shipping hardware.
• Follow state-of-the-art literature closely to reproduce and build on published results.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.