Staff Software Engineer, Photos Storytelling

Google Google · Big Tech · Mountain View, CA +1

Staff Software Engineer on the Photos Storytelling team at Google, focusing on building next-generation reminiscing experiences. This role involves integrating Gemini and Gen AI into the core memories experience to enhance how users revisit their past. The engineer will act as a core partner to product, UX, and other teams, designing and integrating backend and AI technologies, and shipping scalable, robust features for billions of users.

What you'd actually do

  1. Act as a core engineering partner to product, UX, analytics, and privacy teams in a cross-functional triad to prototype solutions, refine requirements, and launch new features.
  2. Design and integrate backend and AI technologies into system architectures, writing clean code to bring product experiences to life.
  3. Succeed in a dynamic environment by iterating on prototypes, managing technical uncertainties, and delivering software solutions.
  4. Contribute to a collaborative and supportive team environment that supports sustainable execution and shared goals.

Skills

Required

  • programming in C++, Java, Python, Kotlin, or Go
  • building, testing, and shipping technical products or large-scale infrastructure/systems
  • software design and architecture

Nice to have

  • Experience building and launching ML-enabled product features rapidly, particularly to public users.
  • Experience with Generative AI and Large Language Models (LLM).
  • Experience leveraging Large Language Models to support a variety of professional tasks.
  • Ability to work in a fluid, collaborative, creative environment with excellent communication skills.
  • Passion to work on the forefront of technology, navigating the issues and ambiguity of "0-to-1" innovation.

What the JD emphasized

  • Experience building and launching ML-enabled product features rapidly, particularly to public users.
  • Experience with Generative AI and Large Language Models (LLM).
  • Experience leveraging Large Language Models to support a variety of professional tasks.

Other signals

  • integrating the intelligence of Gemini and Gen AI
  • Building for billions of users
  • Experience building and launching ML-enabled product features rapidly