About The Position

The AI Tools & Automation Specialist will join the Platform & Personalization team for the Apple TV app. The role focuses on designing and building practical tools that support the judgment and craft of editorial, programming, and testing teams, and helping colleagues make effective use of AI. The specialist will turn ideas into working prototypes, pitch promising ideas to engineering partners, collaborate with them to develop those ideas, and share tools so others can use and improve them. Apple's video services focus on curation, discovery, and personalization. The team works with studios, networks, channels, and streaming services to bring content to Apple TV customers and help them discover movies and TV shows.

Requirements

  • Bachelor's degree or 2 years of equivalent practical experience.
  • Hands-on experience building with AI tools, including prompt engineering and using AI coding assistants to produce working prototypes.
  • Good judgment in reviewing AI output, including spotting errors, gaps, and bias and designing simple checks and human review steps.
  • Working knowledge of a scripting or web language such as Python, JavaScript, or TypeScript.
  • Comfort with APIs, structured data, and spreadsheets.
  • Clear communication skills, ability to document work, and enjoyment of explaining technical ideas to non-technical colleagues.
  • Interest in movies, TV, and how people discover content.

Nice To Haves

  • Familiarity with agentic workflows and approaches for connecting AI to data, such as retrieval-augmented generation (RAG).
  • Experience turning a repeatable process into a report, dashboard, or workflow.
  • Understanding of responsible AI use, including data privacy and confidentiality.
  • Experience with version control, test automation, or deploying a small web application.
  • Curious, organized, and comfortable iterating on feedback.

Responsibilities

  • Design and build practical tools to support editorial, programming, and testing teams.
  • Help colleagues learn how to get the most from AI.
  • Turn ideas into working prototypes.
  • Pitch promising prototypes to engineering partners and collaborate with them to bring ideas to life.
  • Share built tools so others can use and improve them.
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