Machine Learning Engineer, Speech Products

Weekly Hours: 40 Role Number: 200641189-1242 Summary Weu2019re seeking engineers excited about applying machine learning to build and maintain the core ML products behind Appleu2019s speech technologies. Youu2019ll 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 Appleu2019s 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 this role, you will engineer and refine the systems that transform research ideas into reliable, production-ready modeling workflows. Youu2019ll 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 Appleu2019s state-of-the-art speech capabilitiesu2014powering technologies that reach our users around the world. 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 + Bacheloru2019s or graduate degree in Computer Science, Computer Engineering, or a related field, or equivalent experience 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 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 (.

Created: 2026-03-07