Software Engineer III, Search and Ranking Personalization

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 1 year of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
  

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Personalized Search Results Team is dedicated to improving search rankings by customizing results to reflect explicit or implicit user preferences. This involves elevating frequently visited or favored websites in the rankings, increasing the prominence of specific result types (e.g., videos, images) based on user tendencies, and surfacing relevant interpretations of ambiguous queries (e.g., "CS" for "Counter-Strike" vs. "Computer Science") informed by user interests.

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.

• Design and analyze Search ranking algorithms and architecture, potentially leveraging AI (e.g., LLMs, DNN) and C++, aimed at improving Search ranking results.
• Collaborate with Product Managers and other teams/engineers to conceive and implement solutions.
• Train and debug machine learning models that power current and future search ranking solutions, specially targeted at personalizing the user experience within search.
• Analyze experimental results and help decide launchable state for projects.