Senior Engineering Manager, Apple Data Platform

We are looking for a Senior Engineering Manager to lead teams building foundational platforms that power large-scale machine learning. This role sits at the intersection of ML infrastructure, data-centric ML, and generative AI, enabling teams across the company to move from data to trained models efficiently, reliably, and at scale.

You will lead efforts that unify ML dataset creation and sharing with built-in governance, accelerate model quality through intelligent data workflows, and deliver high-performance data access for training and experimentation. Your work will directly influence how ML practitioners develop, optimize, and scale models across a wide range of products and services.

You will 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.

DescriptionAs a Senior Engineering Manager in the ML Data group, you will lead the design and delivery of core platforms that support the full ML lifecycle, from experimentation to large-scale training and deployment. These platforms enable teams to create and share ML datasets with governance provided out of the box, improve training outcomes through data-centric capabilities such as synthetic data generation, rapid data transformation, and visualization, and efficiently load data at scale for modern accelerators.

Your teams will build and operate systems that support multimodal data, including text, images, audio, and more, while ensuring data access remains efficient and predictable as workloads grow. This includes designing and scaling high-performance data paths that support streaming, random access, sharding, and high-throughput sequential reads to keep training pipelines performant and GPUs fully utilized.

This role requires strong leadership in infrastructure and distributed systems, paired with strategic thinking and effective execution in complex, cross-functional environments. You will work closely with ML researchers, platform and infrastructure teams, and product partners to align on requirements, set technical direction, and deliver multi-quarter initiatives with broad organizational impact.

We are looking for an experienced leader who is passionate about building world-class ML platforms at scale, comfortable operating across diverse infrastructure environments, and excited to work at the intersection of cutting-edge ML research and production systems. This is a unique opportunity to shape how machine learning is developed, deployed, and scaled across the company, with the autonomy to experiment, the scale to make meaningful impact, and the support to take ideas from concept to production.\