Job Description

Apple is looking for engineers to apply machine learning in developing and maintaining core speech technologies. The role involves building scalable infrastructure for training and evaluating speech models, collaborating with various teams, and ensuring high-quality model performance for millions of users.

Requirements

Hands-on experience with distributed compute and data systems (Spark, Ray)
Working knowledge of speech/ASR/TTS concepts (audio features, tokenization, speech augmentation, alignment, evaluation metrics)
Comfort working cross-functionally with research scientists, data engineers, and product teams
Experience designing, building, and maintaining scalable ML pipelines for training, evaluation, and continuous monitoring
Strong software engineering skills, with proficiency in Python
Solid understanding of core ML concepts, such as supervised/unsupervised learning, model evaluation, and performance analysis
Strong verbal and written communication skills
Bachelor’s or graduate degree in Computer Science, Computer Engineering, or a related field, or equivalent experience

Responsibilities

Build and maintain scalable pipelines for training and evaluating speech models for fast and reliable experimentation and for production
Integrate new model architectures, training recipes, and evaluation methods into existing systems
Monitor pipeline health and model performance, helping identify regressions or data issues
Collaborate with modeling and infrastructure teams to improve reliability and efficiency
Contribute to tooling that supports experiment tracking, reproducibility, and analysis
Document workflows and follow best practices for ML software development

Benefits

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.