Machine Learning Engineer, Speech Products

We're seeking engineers excited about applying machine learning to build and maintain the core ML products behind Apple's speech technologies. You'll join a highly technical, collaborative team of ML, software, and infrastructure experts to develop systems used by millions of people. This role offers the chance to work on impactful projects across Apple and to apply your ML, data science, and analytical skills to solve complex problems and deliver innovative user-facing products.

Description

Join a pivotal team that builds the automation and scalable infrastructure that carries Apple's speech research into production for millions of users. We design and maintain the training and evaluation pipelines that enable rapid experimentation, robust model validation, and seamless deployment of next-generation speech technologies.

In this role, you will engineer and refine the systems that transform research ideas into reliable, production-ready modeling workflows. You'll improve automation, ensure high-quality model behavior at scale, and create the frameworks that accelerate model development across the speech organization. Your work forms the backbone of Apple's state-of-the-art speech capabilities-powering technologies that reach our users around the world.

","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

Preferred Qualifications

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

Minimum Qualifications

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $132,100 and $244,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.