Software Engineer III, AI/ML, Search Ecosystems

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Inc. in Mountain View, CA is seeking a Software Engineer III focused on AI/ML for Search Ecosystems. You will work on scalable systems for information retrieval and large-scale data processing.

The role requires C++ and Java, plus experience with IR, distributed computing, and data pipelines. You will collaborate across teams to push state-of-the-art search technologies and deliver high-value features.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with C++ and Java.
• Experience in information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.
• Experience with large-scale data analysis, building data pipelines (Flume), and applying statistical methods to solve problems.

Responsibilities

• Build and maintain highly scalable software systems and backend infrastructure designed to operate on top of Large Language Models for information retrieval.
• Design, implement, and continuously iterate on systems to retrieve high-value, rights-protected content; define quality signals, extracting data, and building evaluation models.
• Partner closely with engineers, product managers, and research teams across Google to integrate premium knowledge into high-visibility Generative AI surfaces.
• Grow in a changing, rapidly growing environment, establishing clear technical directions and delivering results from the ground up for a new organizational effort.
• Uphold standards for code quality, system reliability, engineering best practices, and comprehensive technical documentation.

Skills

C++

Java

Information retrieval

Data pipelines

Distributed computing

Education

Bachelor’s degree or equivalent practical experience

Tools

Flume

Job description

Software Engineer III, AI/ML, Search Ecosystems

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• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in C++ and Java.
• Experience in domains related to information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.
• Experience with large‑scale data analysis, building data pipelines (e.g., Flume), and applying statistical methods to solve problems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of experience with data structures and algorithms.

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.

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.

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.

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 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Build and maintain highly scalable software systems and backend infrastructure designed to operate on top of Large Language Models for information retrieval.
  
• Design, implement, and continuously iterate on systems to retrieve high‑value, rights‑protected content. This includes defining quality signals, extracting data, and building evaluation models.
  
• Partner closely with engineers, product managers, and research teams across Google (such as NotebookLM, Play Books, Core Data, and Search) to seamlessly integrate premium knowledge into high‑visibility Generative Artificial Intelligence surfaces.
  
• Grow in a changing, rapidly growing environment, taking the initiative to establish clear technical directions and deliver results from the ground up for a new organizational effort.
  
• Uphold standards for code quality, system reliability, engineering best practices, and comprehensive technical documentation across the team.

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 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. 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.