Senior / Staff Machine Learning Engineer, Apple ML Data Platform

Join Apple's ML Data Platform team at the forefront of ML infrastructure and generative AI development. This role focuses on building robust systems that connect scalable data pipelines with advanced ML workflows to accelerate the development of real-world AI applications across Apple products and services.

As a Senior/Staff ML Engineer, you'll work on accelerating data-centric ML, improving model performance through intelligent data workflows, and experimenting with cutting-edge approaches like synthetic data generation and automated labeling. The role spans the entire ML lifecycle, from experimentation to deployment, where you'll play a key role in shaping how AI models are built, optimized, and scaled.

The team enables future Apple intelligent products by providing engineers with cutting-edge ML technologies and large-scale compute systems. You'll work alongside world-class engineers and researchers to build robust, flexible, and intelligent systems that make ML development faster, more reliable, and more creative.

The position offers competitive compensation ($181,100-$318,400 base salary) plus equity, comprehensive benefits, and the opportunity to work on impactful projects at scale. You'll be part of Apple's broader mission to push the boundaries of AI technology while maintaining high standards for user privacy and system reliability.

This is an ideal role for experienced ML engineers passionate about infrastructure, scalable systems, and advancing the state of machine learning in production. You'll have the autonomy to experiment, the scale to make impact, and the support to take ideas from prototype to production in one of tech's most influential companies.