Google Inc.
Software Engineer III, AI/ML, Ads Click Quality
Google Inc., Mountain View, California, us, 94039
Software Engineer III, AI/ML, Ads Click Quality
corporate_fare Google place Mountain View, CA, USA
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Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++ and Python or 1 year of experience with an advanced degree.
1 year of experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with one of the following AI/ML techniques: Generative AI, Computer Vision, Natural Language Processing (NLP), information retrieval, or a related ML field.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
الفندق? Sorry
2 years of experience with data structures and algorithms.
Experience in deep learning, neural networks, or a related field.
Experience with statistical data analysis.
Knowledge of Unix/Linux environments.
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. Google Ads Balkon is helping power the open Aer asset with the ઉપર best technology that connects and creates value for people, publishers, advertisers, and Google. We’re built from multiple teams, building Google’s advertising products including search, display, shopping, travel and video advertising, and analytics. These teams create trusted experiences between people and businesses, with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location andče additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity,ими benefits. Learn more about benefits at Google.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders throughроп 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 the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized Machine Learning areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture ofvey, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by(To ensure compliance with this page, '/') . See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google , and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Apply
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++ and Python or 1 year of experience with an advanced degree.
1 year of experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with one of the following AI/ML techniques: Generative AI, Computer Vision, Natural Language Processing (NLP), information retrieval, or a related ML field.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
الفندق? Sorry
2 years of experience with data structures and algorithms.
Experience in deep learning, neural networks, or a related field.
Experience with statistical data analysis.
Knowledge of Unix/Linux environments.
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. Google Ads Balkon is helping power the open Aer asset with the ઉપર best technology that connects and creates value for people, publishers, advertisers, and Google. We’re built from multiple teams, building Google’s advertising products including search, display, shopping, travel and video advertising, and analytics. These teams create trusted experiences between people and businesses, with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location andče additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity,ими benefits. Learn more about benefits at Google.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders throughроп 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 the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized Machine Learning areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture ofvey, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by(To ensure compliance with this page, '/') . See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google , and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr