Senior Software Engineer, Recommendations, Search Intelligence

Google

Mountain View, California, United StatesFull-time$174,000–$252,000Posted Oct 20, 2026

About the role

MINIMUM QUALIFICATIONS:

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

languages.

  • 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

  • 3 years of experience building and deploying recommendation systems models

(retrieval, prediction, ranking, embedding) in production and experience

building architecture in different modeling domains.

PREFERRED QUALIFICATIONS:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

  • Write and test 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.

  • Design and implement recommendation systems models across different domains,

leverage ML infrastructure, and contribute to architecture design.

Responsibilities

  • Write and test product or system development code.
  • Collaborate on design and code reviews to promote engineering best practices.
  • Maintain documentation and educational content as products and user feedback evolve.
  • Triage, debug, and resolve product or system issues.
  • Design and implement recommendation models across domains, use ML infrastructure, and contribute to architecture.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • At least 5 years of software development experience.
  • At least 3 years of experience testing, maintaining, or launching software products and 1 year of software design and architecture experience.
  • At least 3 years of experience building and deploying production recommendation models and building architecture across modeling domains.
  • Preferred: Master’s degree or PhD in Computer Science or a related technical field.
  • Preferred: 5 years of experience with data structures and algorithms.
  • Preferred: 1 year of experience in a technical leadership role.
  • Preferred: Experience developing accessible technologies.

Benefits

  • 15% target bonus
  • Equity
  • Benefits

Skills mentioned

PythonSystem DesignDistributed SystemsSoftware TestingMachine LearningRecommendation SystemsFeature EngineeringModel EvaluationModel DeploymentEmbeddings

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.