Senior GenAI Search Engineer – Scale & Impact

Google

Mountain View (CA)

On-site

USD 262,000 - 365,000

Full time

14 days+
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Job summary

Google in Mountain View, CA seeks a Senior Staff Software Engineer, Generative AI, Search Intelligence to lead advanced ML initiatives across large-scale systems. You will own outcomes, shape design decisions, and collaborate with Research and DeepMind to deploy AI-driven features for Google Search.

You will mentor engineers, guide architecture, and influence cross-functional teams while delivering high-impact improvements to LLM-driven products such as AI Mode and AI Overviews.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of software development experience.
  • 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of design and architecture; testing/launching software products.
  • 2 years of experience with state of the art GenAI techniques or related concepts.

Responsibilities

  • Advocate modeling, tuning, and optimization techniques to support LLM performance.
  • Guide user-signal-driven improvements of LLMs to address loss patterns and response quality.
  • Partner with Google Research and DeepMind to advance LLM technologies and integrate them into products.
  • Demonstrate teamwork, sharing expertise in system design and ML modeling.
  • Cultivate relationships with stakeholders to define and execute LLM initiatives.

Skills

Software engineering
Project leadership
GenAI concepts
System design
ML deployment

Education

Bachelor's degree or equivalent practical experience

Job description

Google in Mountain View, CA seeks a Senior Staff Software Engineer, Generative AI, Search Intelligence to lead advanced ML initiatives across large-scale systems. You will own outcomes, shape design decisions, and collaborate with Research and DeepMind to deploy AI-driven features for Google Search.

You will mentor engineers, guide architecture, and influence cross-functional teams while delivering high-impact improvements to LLM-driven products such as AI Mode and AI Overviews.

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