Google
Software Engineer III, Generative AI/ML, Search Ads
Google, Mountain View, California, us, 94039
Software Engineer III, Generative AI/ML, Search Ads
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Software Engineer III, Generative AI/ML, Search Ads
role at
Google
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python, 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 and algorithms.
1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).
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 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 and 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, or benefits. Learn more about benefits at Google.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Work with and finetune LLMs for targeting, large-scale retrieval, pseudo-rater, and other Ads applications.
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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
Referrals increase your chances of interviewing at Google by 2x
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Software Engineer III, Generative AI/ML, Search Ads
role at
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python, 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 and algorithms.
1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Experience in building products using Machine Learning techniques including Natural Language Processing (NLP).
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 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 and 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, or benefits. Learn more about benefits at Google.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Work with and finetune LLMs for targeting, large-scale retrieval, pseudo-rater, and other Ads applications.
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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
Referrals increase your chances of interviewing at Google by 2x
#J-18808-Ljbffr