About The Position

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. As a Sr Engineering Manager on the Applied Machine Learning team, you will lead a team software engineers building tools and platform at scale that powers Apple's enterprise GenAI efforts. You'll be responsible for the technical execution and delivery of GenAI platform with distributed compute, storage, ingestion and inference. You'll be working with the team of software engineers and machine learning engineers to build RAG and Agentic platform components. If you have a deep understanding for distributed systems, generative AI, strong engineering background and leadership experience, then this role may be a great one for you! In this role you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across Apple. You will work cross-functionally with key internal partners, researchers, product teams, and platform engineers for roadmap development and delivery of our products.

Requirements

  • 10+ years of experience working on distributed systems
  • 6+ years of experience in management or leadership role
  • Deep understanding of GenAI fundamentals
  • Deep understanding of Java, C, C++ or similar programming language
  • Deep understanding of distributed systems like Flink, Spark, NoSQL etc.
  • Bachelors Degree in Computer Science or equivalent.

Nice To Haves

  • Track record of leading teams and delivering complex AI projects from conception to production
  • Strong communication skills
  • Understanding of LLM inference and deployment
  • Understanding of RAG and Agentic systems
  • Past experience leading a scalable platform team

Responsibilities

  • Lead a team of software engineers building tools and platforms at scale that power Apple's enterprise GenAI efforts.
  • Responsible for the technical execution and delivery of GenAI platform with distributed compute, storage, ingestion and inference.
  • Work with software engineers and machine learning engineers to build RAG and Agentic platform components.
  • Lead and mentor forward-thinking engineers.
  • Own related activities and interactions with teams across Apple.
  • Work cross-functionally with key internal partners, researchers, product teams, and platform engineers for roadmap development and delivery of our products.
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