Staff Machine Learning Engineer, Apple ML Data Platform
Apple
Software Engineering, Data Science
Cupertino, CA, USA
Posted on Jun 1, 2025
Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We focus on building robust systems that connect scalable data pipelines with advanced ML workflows to accelerate the development of real-world AI applications. You’ll have the opportunity to work on a variety of exciting challenges, from multimodal data models (text, images, audio, and more) to developing cutting-edge generative AI solutions. This includes accelerating data-centric ML, improving model performance through intelligent data workflows, and experimenting with novel approaches like synthetic data generation and automated labeling. Our work spans the entire ML lifecycle, from experimentation to deployment, and you’ll play a key role in shaping how AI models are built, optimized, and scaled. We are looking for engineers and researchers who are passionate about pushing the boundaries of generative models, data-centric ML, and intelligent systems across a range of real-world use cases. You’ll have the autonomy to experiment, the scale to make impact, and the support to take ideas from prototype to production. This is a unique opportunity to work at the intersection of cutting-edge infrastructure and ML research, helping teams across the company accelerate how machine learning is developed, deployed, and applied in practice. You’ll work alongside a world-class team of engineers and researchers to build robust, flexible, and intelligent systems that make ML development faster, more reliable, and more creative.