ML-Driven AI Search Personalization Engineer

Google

Town of Montana (WI)

On-site

USD 147,000 - 210,000

Full time

9 days ago
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Benefits offered by this job

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Job summary

Google's Software Engineer, AI/ML, Search Personalization role in Mountain View, CA invites mid-level engineers to help push the boundaries of search and personalization at scale. You will write production code, collaborate in design reviews, mentor juniors, and integrate generative AI tools or LLM interfaces into workflows to improve retrieval, ranking, and search quality.

This role offers the chance to impact billions of users, work with diverse teams, and grow within Google's inclusive,

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 2 years of software development experience in one or more languages, or 1 year with advanced degree.
  • 2 years of experience with C++ programming.
  • 1 year building and deploying recommendation systems models in production.
  • 1 year integrating generative AI tools or LLM interfaces into workflows.
  • Mentoring more junior team members is desirable.

Responsibilities

  • Write product or system development code.
  • Collaborate through design and code reviews to ensure best practices.
  • Contribute to existing documentation or educational content and adapt content based on updates.
  • Triage product or system issues and debug/track/resolve impacts on hardware, network, or service ops.
  • Implement solutions in ML areas, utilize ML infrastructure, and optimize models and data processing.

Skills

C++
Software development
ML/AI
Recommendation systems
Generative AI integration
Mentoring juniors
Search personalization

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Computer Science or related

Job description

Google's Software Engineer, AI/ML, Search Personalization role in Mountain View, CA invites mid-level engineers to help push the boundaries of search and personalization at scale. You will write production code, collaborate in design reviews, mentor juniors, and integrate generative AI tools or LLM interfaces into workflows to improve retrieval, ranking, and search quality.

This role offers the chance to impact billions of users, work with diverse teams, and grow within Google's inclusive,

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