Senior GenAI & Personalization Tech Lead

Google

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

6 hours ago
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Job summary

Google in Mountain View, CA is hiring a software engineer focused on large-scale systems and AI-driven search features. You will lead technical strategy, design and deployment of ML-driven infrastructure, and guide cross-team initiatives to improve personalization and search quality.

The role demands leadership, deep software engineering and GenAI expertise, with in-person interviews in most cases. We value experience building scalable, reliable platforms and collaborating across functions to

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years leading technical project strategy, ML design, and ML infrastructure optimization.
  • 5 years design/architecture; testing/launching software products.
  • 2 years of GenAI techniques or GenAI concepts.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Facilitate alignment across teams on goals, outcomes, and timelines.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Refine and improve personalization quality goals based on real user interactions.
  • Lead a small team on deep, domain-specific problems and coordinate with partner teams.

Skills

Technical leadership
ML design
ML infrastructure
Software architecture
Software development
GenAI techniques
Project strategy

Education

Bachelor's degree or equivalent practical experience
Master's or PhD in Engineering/CS or related field

Job description

Google in Mountain View, CA is hiring a software engineer focused on large-scale systems and AI-driven search features. You will lead technical strategy, design and deployment of ML-driven infrastructure, and guide cross-team initiatives to improve personalization and search quality.

The role demands leadership, deep software engineering and GenAI expertise, with in-person interviews in most cases. We value experience building scalable, reliable platforms and collaborating across functions to

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