info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Cambridge, MA, USA.
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in Python or C .
- 1 year of experience testing, maintaining, or launching software products.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience in information retrieval, search quality, and ranking systems.
- Experience with machine learning.
About the jobOur goal is to satisfy users' information-seeking needs on anything they ask. In this role, you will provide nuanced answers when simple ones don't suffice. You will provide different types of answers if appropriate (lists, images, videos), manage ambiguous questions gracefully to show multiple perspectives where appropriate, and experiment with bold new experiences and technologies that leverage our question-answering technologies at scale. Most projects are full-stack work in pursuit of enhanced answer quality, experiences, and features.
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: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities - Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Improve measurements, run live experiments, ensure launches continue to be effective and protect against regressions.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
