Software Engineer III, AI/ML, Search Ecosystems

Google; Anchorage (AK); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a software engineer to help build scalable backend systems for information retrieval and search infrastructure. You will work on projects that power billions of users and collaborate across teams across Google.

You will develop in C++ and Java, analyze large data sets, design data pipelines, and contribute to quality signals and evaluation models. A strong background in statistical methods and distributed systems is valued.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in 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, and applying statistical methods.

Responsibilities

• Build and maintain highly scalable software systems and backend infrastructure for information retrieval.
• Design, implement, and iterate on systems to retrieve high-value content, defining quality signals, extracting data, and building evaluation models.
• Partner closely with engineers, product managers, and research teams 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 across the team.

Skills

C++ and Java experience

Large-scale data analysis

Data pipelines

Statistical methods

Education

Bachelor’s degree or equivalent practical experience

Tools

Flume

Job description

Minimum qualifications:

• 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.
• 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.

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.

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. 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.