Software Engineer III, AI/ML, Search Ecosystems

About the role

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

[https://www.google.com/about/careers/applications/benefits/].

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.