Staff Ux Front-end Engineer, Youtube

Google Google · Big Tech · San Bruno, CA +1

Staff UX Front-End Engineer for YouTube, focused on building high-fidelity prototypes and experimental frameworks for GenAI-driven creation tools. The role involves establishing a prototyping program with shared sandboxes and reusable toolsets to enable designers to create functional prototypes reflecting AI-driven media generation. Responsibilities include leading prototyping for AI video features, developing a creation design system, and driving the design-to-code evolution.

What you'd actually do

  1. Lead the high-fidelity prototyping program for Shorts Creation and MediaGen, leveraging the latest LLMs and generative models within advanced frameworks to stress-test future AI-driven video features.
  2. Develop and maintain the creation design system by building a library of components that ensure creative expression is technically feasible.
  3. Empower the UX team by identifying and creating AI-integrated sandboxes and reusable templates for internal platforms to accelerate prototype creation.
  4. Drive the design-to-code evolution, collaborating with front-end engineers to architect pipelines that seamlessly transition designs into production-ready user interface (UI).
  5. Apply front-end engineering experience to deliver production-quality code, acting as a critical technical bridge to ensure the original design intent is never lost.

Skills

Required

  • UX Engineering
  • design and implementation of reusable components or design systems
  • working and integrating LLMs
  • front-end engineering

Nice to have

  • technical leadership
  • managing projects
  • prototyping AI features
  • collaborating with user research to craft usability studies for prototypes
  • Ability to take design concepts from drawing board to shipped features

What the JD emphasized

  • architecting the experimental frameworks required to stress-test the next generation of GenAI-driven creation tools
  • establishing a prototyping program
  • developing shared sandboxes and reusable toolsets
  • build functional, high-fidelity prototypes that accurately reflect the complexity of AI-driven media generation
  • leveraging the latest LLMs and generative models within advanced frameworks to stress-test future AI-driven video features
  • identifying and creating AI-integrated sandboxes and reusable templates for internal platforms to accelerate prototype creation
  • architect pipelines that seamlessly transition designs into production-ready user interface (UI)
  • integrating LLMs

Other signals

  • prototyping program
  • reusable toolsets
  • high-fidelity prototypes
  • AI-driven media generation
  • LLMs
  • generative models
  • AI-integrated sandboxes