Software Engineer III, AI/ML, Search

Google

Mountain View, California, United StatesFull-time$147,000–$210,000Posted Oct 20, 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.

  • 1 year of experience with one or more of the following: speech/audio (e.g.,

technology duplicating and responding to the human voice), reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

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

evaluation, optimization, data processing, debugging).

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:

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to

ensure best practices amongst available technologies (e.g., style guidelines,

checking code in, accuracy, testability, and 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 solutions in one or more specialized ML areas, utilize ML

infrastructure, and contribute to model optimization and data processing.

Responsibilities

  • Write product or system development code.
  • Collaborate on design and code reviews to ensure quality and best practices.
  • Maintain documentation and educational content as products and user feedback evolve.
  • Triage, debug, and resolve product or system issues.
  • Implement solutions in specialized ML areas and contribute to ML infrastructure, model optimization, and data processing.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • At least 2 years of software development experience, or 1 year with an advanced degree.
  • At least 1 year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
  • At least 1 year of experience with ML infrastructure, such as model deployment, evaluation, optimization, data processing, or debugging.
  • Preferred: Master’s degree or PhD in Computer Science or a related technical field.
  • Preferred: 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.

Benefits

  • 15% target bonus
  • Equity
  • Benefits

Skills mentioned

PythonMachine LearningMLOpsModel DeploymentModel EvaluationData EngineeringData PipelinesDebuggingDistributed SystemsWeb Accessibility

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.