Google
Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube
Google, San Bruno, California, United States, 94066
Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube
By applying to this position you will have an opportunity to share your preferred working location:
San Bruno, CA, USA; Mountain View, CA, USA .
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience programming in Python and C++.
1 year of experience building and deploying recommendation systems models (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 related technical fields.
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 want engineers who bring fresh ideas from all areas: information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile, etc. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business evolves. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories.
The US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location and individual pay is determined by work location and other factors.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies.
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 sources of issues and their impact on hardware, network, or service operations and quality.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Equal Employment Opportunity Statement Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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San Bruno, CA, USA; Mountain View, CA, USA .
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience programming in Python and C++.
1 year of experience building and deploying recommendation systems models (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 related technical fields.
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 want engineers who bring fresh ideas from all areas: information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile, etc. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business evolves. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories.
The US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location and individual pay is determined by work location and other factors.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies.
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 sources of issues and their impact on hardware, network, or service operations and quality.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Equal Employment Opportunity Statement Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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