Software Engineer III, Search Data and ML Platform

Google
Mountain View, California, United StatesFull-time$147,000–$210,000Posted Sep 18, 2026

About the role

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming

languages, or 1 year of experience with an advanced degree.

  • 2 years of experience with distributed systems architecture, scalability,

reliability and performance optimization.

  • 1 year of experience with ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

  • 1 year of experience integrating generative AI tools or LLM interfaces into

workflows.

  • 1 year of experience developing, fine-tuning, or deploying Large Language

Models (LLMs) in production environments.

PREFERRED QUALIFICATIONS:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in system design for large-scale distributed systems using

programming language C++.

  • Experience in data analysis of high-throughput streaming data and integrating

real-time insights into systems.

  • Research experience in Machine Learning, Artificial Intelligence, or a

related technical field (e.g., campus lab experience, research internships,

or co-authored papers).

  • Strong understanding of ML systems, genAI technology, and Recommender

Systems.

  • High velocity to iterate, strong ownership to land projects end-to-end and

comfortable collaborating and supporting multiple client teams.

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:

  • Advance the platform to enable further Machine Learning (ML) use-cases for

discover feed recommendations.

  • Design, implement, deploy, and maintain projects by collaborating with peer

team members in ranking and retrieval to understand technical needs and

system limitations.

  • Take end-to-end project ownership, encompassing ideation, implementation,

analysis, and maintenance.

  • Learn and apply state-of-the-art techniques to transform the product and

improve ML serving.

  • Utilize AI tools and technologies, and be prepared to discuss your AI fluency

and knowledge during the hiring process.

Responsibilities

  • Advance the platform to enable further Machine Learning (ML) use-cases for discover feed recommendations.
  • Design, implement, deploy, and maintain projects by collaborating with peer team members in ranking and retrieval to understand technical needs and system limitations.
  • Take end-to-end project ownership, encompassing ideation, implementation, analysis, and maintenance.
  • Learn and apply state-of-the-art techniques to transform the product and improve ML serving.
  • Utilize AI tools and technologies, and be prepared to discuss your AI fluency and knowledge during the hiring process.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with distributed systems architecture, scalability, reliability and performance optimization.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience integrating generative AI tools or LLM interfaces into workflows.
  • 1 year of experience developing, fine-tuning, or deploying Large Language Models (LLMs) in production environments.

Benefits

  • 15% bonus target
  • equity
  • benefits

Skills mentioned

C++Distributed SystemsSystem DesignPerformance OptimizationMachine LearningModel DeploymentModel EvaluationLarge Language ModelsGenerative AIData Pipelines

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA

H-1B sponsorship history

Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.