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. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, 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

  • 2+ years or more of hands-on proficiency with Java and/or Python or similar language
  • Deep understanding of data structures and algorithms
  • Experience designing and developing scalable & performant micro-services and Rest APIs
  • Knowledge of cloud computing platforms like AWS, Google Cloud, Azure or similar
  • Bachelor’s degree in computer science or related field

Nice To Haves

  • Strong problem-solving skills
  • Excellent communication skills
  • Experience in building and deploying cloud-native applications/products
  • Working experience with Big data technologies and data platforms
  • Familiarity in working with frontend frameworks
  • Hands-on experience with distributed computing technologies
  • Experience with SQL and NoSQL data stores
  • Prior experience in the areas of AI/ML/Data Sciences will be a strong plus

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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