Lead AI Systems Architect for Agentic Storytelling

Google

New York (NY)

Presencial

USD 262 000 - 364 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Bonus target
Equity
Benefits

Resumo da oferta

Google is seeking software engineers to lead the development of agentic storytelling experiences within Photos. You will work across Memories and Video Editing teams to redefine the app at scale, influencing how AI-native storytelling operates inside Google.

Responsibilities include defining multi-year technical goals, architecting scalable systems, and coordinating with research partners to integrate latest generative models.

Qualificações

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; testing/launching software products.

Responsabilidades

  • Define the multi-year technical goal and scalable architecture for agentic storytelling in Photos.
  • Architect and develop capabilities leveraging GenMedia and LLMs for reminiscence, curation, and story creation.
  • Partner with engineering leads across Photos to build unified curation, retrieval, and editing capabilities; work with research partners to integrate models.
  • Coach the team on agentic workflows and emerging practices to multiply engineering output and impact.

Conhecimentos

C++ programming
Software architecture
Leadership

Formação académica

Bachelor's degree or equivalent practical experience
Master’s or PhD preferred

Descrição da oferta de emprego

Google is seeking software engineers to lead the development of agentic storytelling experiences within Photos. You will work across Memories and Video Editing teams to redefine the app at scale, influencing how AI-native storytelling operates inside Google.

Responsibilities include defining multi-year technical goals, architecting scalable systems, and coordinating with research partners to integrate latest generative models.

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