Machine Learning Engineer, Speech Products

Apple • Cambridge, MA

5h

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees