Sobre

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.

ABOUT THE JOB

• 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 this role, you will have the opportunity to develop and implement algorithms
• that leverage user activity and interests to customize search rankings. You will
• dive into innovative ML approaches for personalization, including natural
• language processing, user modeling, and ranking optimization. You will
• contribute to a critical component of search that directly impacts millions of
• users.

• 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.

RESPONSIBILITIES

• * 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.