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 team is building a sustainable platform to acquire diverse and valuable content sets for various applications within Google. A key challenge is determining the intrinsic value of content. We develop and operate systems that use innovative mechanisms to source content, guided by our understanding of its quality and potential utility. Our platform includes components for content valuation, acquisition, and management.
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, develop, implement, and iterate on systems and algorithms to assess content value, including defining and extracting quality signals and building evaluation models.
- Build and maintain robust, scalable software systems for the content acquisition platform.
- Analyze datasets to understand attributes that contribute to content quality and utility.
- Collaborate closely with other engineers, product managers, and potentially research teams (including those in the US) to define value metrics and implement assessment strategies.
- Design and run experiments to refine valuation models and improve acquisition outcomes. Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Java, Python), or 1 year of experience with an advanced degree.
- Experience with data structures or algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with large-scale data analysis, data pipelines, and statistical methods.
- Experience in fields related to data quality, information retrieval, ranking, search quality, content evaluation, or signal extraction.
- Familiarity with machine learning techniques applicable to content understanding or quality assessment.
- Demonstrated ability to develop and work with signals and metrics to assess the quality or value of data or content.
- Proficiency with data analysis and visualization tools.