About The Position

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. From Apple ID to Apple’s website to data centers around the globe, IS&T’s engineers, designers, and creators manage the massive systems and services that power Apple. IS&T is the engine behind everything Apple does for employees and customers. It’s not traditional IT — it’s Apple’s central nervous system. From supporting 2.5 billion active Apple devices to securing every transaction, download, and interaction, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Requirements

  • 8 yrs in building and deploying cloud-native applications/products
  • 8 yrs experience with Big data technologies and data platforms
  • 4 yrs in working with frontend frameworks
  • 8 yrs with SQL and NoSQL data stores
  • Bachelor's degree in Computer Science or similar fields of study, or equivalent work experience

Nice To Haves

  • Strong problem-solving skills
  • Excellent communication skills
  • 4 yrs experience in the areas of AI/ML/Data Sciences will be a strong plus
  • 8 yrs hands on experience with distributed computing technologies

Responsibilities

  • Building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization.
  • Building custom solutions ground up or taking open source products and customizing them for Apple’s needs.
  • Building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
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