Google

Senior Software Engineer, Search Personalization Quality

Google$174K — $252K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in C, Java, or Python.
  • 3 years of experience developing search quality algorithms or ranking systems.
  • 3 years of experience building and deploying personalization algorithms in production.
  • 1 year of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).

Responsibilities

  • Define the technical roadmap for Search Personalization Quality components.
  • Solve personalization triggering problems by analyzing query intent and user context.
  • Improve personalization response quality through context engineering and ranking solutions.
  • Collaborate with personalization evaluation and AI Experience teams to enhance personalization outcomes.
  • Work cross-functionally with Product Managers and Analysts to design solutions for personalization quality.

Benefits

  • Comprehensive health benefits including medical, dental, and vision coverage.
  • 401(k) plan with company matching contributions.
  • Generous paid time off and holidays.
  • Programs for professional development and continuous learning.
  • Employee resource groups and initiatives promoting diversity and inclusion.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in C , Java, or Python.
  • 3 years of experience in developing search quality algorithms, ranking systems, or information retrieval models.
  • 3 years of experience in building, scaling, and deploying personalization algorithms or recommendation systems in production environments.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms, and software development using Kotlin.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 1 year of experience in a technical leadership role.
  • Experience with quality changes for large-scale consumer features or products, including prior experience developing on Search infrastructure.
  • Ability to work on a central, high-visibility team, with deadlines driven by regulations and company-wide product initiatives.


About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Define the technical roadmap driving priority Search Personalization Quality components across AI Mode and apply them in AI Overviews.
  • Solve personalization triggering problems by understanding the intersection of query intent, user context, and real-world context to expand Personal Intelligence reach across eligible search queries.
  • Improve personalization response quality by designing and validating solutions for accurate personalization signals application via context engineering and ranking.
  • Work with the personalization evaluation team and AI Experience (AIX) quality team to accelerate personalization wins and benefit horizontal AIX quality.
  • Collaborate cross-functionally with Product Managers and Analysts, and across organizations (Infrastructure, Evaluation, Trust, Search Platforms, and Verticals) to understand technical limitations and design solutions that drive personalization expansion and response quality.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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