Software Engineer, Gen AI, Connect Sales, Google Ads
Google Inc., Mountain View, California, us, 94039
Software Engineer, Gen AI, Connect Sales, Google Ads
Google Mountain View, CA, USA
Qualifications
Bachelor’s degree or equivalent practical experience.
2 years of software development experience in one or more programming languages (e.g., Java, SQL), or 1 year of experience with an advanced degree.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Knowledge of AI Platform, Gemini and distributed systems.
About the job Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. Products handle information at massive scale and extend beyond web search. Engineers bring fresh ideas from information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. 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 the fast‑paced business grow and evolve. Engineers are versatile, display leadership qualities, and are enthusiastic to take on new problems across the full stack.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices and technology efficiency.
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 GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Compensation US base salary range $141,000‑$202,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.
Equal Opportunity Google is a proud equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, 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 law.
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Qualifications
Bachelor’s degree or equivalent practical experience.
2 years of software development experience in one or more programming languages (e.g., Java, SQL), or 1 year of experience with an advanced degree.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Knowledge of AI Platform, Gemini and distributed systems.
About the job Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. Products handle information at massive scale and extend beyond web search. Engineers bring fresh ideas from information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. 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 the fast‑paced business grow and evolve. Engineers are versatile, display leadership qualities, and are enthusiastic to take on new problems across the full stack.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices and technology efficiency.
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 GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Compensation US base salary range $141,000‑$202,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.
Equal Opportunity Google is a proud equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, 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 law.
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