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Job Description

Build distributed, large-scale data processing systems and LLM-powered experiences for Apple TV and Sports.

Responsibilities

  • Partner with Apple teams to design and implement data solutions aligned to business needs
  • Design and build data platform components that enable data analytics for Apple TV and Sports products
  • Develop large scale data pipelines and backend services on a small team using microservices and big data technologies
  • Iterate across all stages of data pipelines

Requirements

  • 3+ years of programming experience in Java or Scala
  • Bachelors or Masters degree in Computer Science, Mathematics, or equivalent technical discipline
  • Experience working with large scale distributed data processing technologies and developing AI agents
  • Experience with big data and distributed systems
  • Experience developing microservices and REST APIs
  • Experience working with LLMs and developing AI agents
  • Design and build LLM-powered applications and intelligent agents at scale
  • Strong software engineering fundamentals, including algorithms and data structures
  • Self-directed and able to create architecture and design documents
  • Ability to capture cross-functional requirements and translate them into practical engineering tasks
  • Strong AI, engineering, and communication skills
  • Passion for quality and ability to understand complex systems

Technologies

  • Java, Scala
  • Big data technologies, data processing technologies
  • Distributed systems
  • Microservices, REST APIs
  • LLMs, LLM-powered applications, AI agents, intelligent agents

Location

  • Seattle, WA (onsite)

Compensation

  • USD 142,300 - 263,300 per year

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments and relocation (if eligible)
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligible for discretionary restricted stock unit awards
  • Purchase Apple stock at a discount via the Apple Employee Stock Purchase Plan (voluntary participation)

Apple Services Engineering (ASE) supports Apple TV and Video teams by building a data platform for data analytics, including LLM-powered applications and intelligent agents.

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