Engineering Manager - GenAI, AI & Data Platforms (AiDP)

Open 33d

Referral available at Apple

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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 an Engineering Manager on the Applied Machine Learning team, you will lead a team of software engineers building tools and platforms at scale that power Apple's enterprise GenAI efforts. You'll be responsible for the technical execution and delivery of a GenAI platform with distributed compute, storage, ingestion, and inference. You'll be working with a team of software engineers and machine learning engineers to build RAG and Agentic platform components. If you have a deep understanding of distributed systems, generative AI, a 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 to develop and deliver our products.

Minimum Qualifications

  • 10+ years of experience working on distributed systems
  • 6+ years of experience in a 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.
  • Bachelor's degree in Computer Science or equivalent.

Preferred Qualifications

  • 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