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Senior Software Engineer, GenAI, Search

Google

New York, NYJob$174–252K/yrPosted 2 days agoStill listed today

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At a glance

Compensation
$174–252K/yr
Location
New York, NY
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Google is hiring a Senior Software Engineer for Search AI, working at the intersection of research and large-scale products. The engineer will use new model capabilities to improve AI Overviews and AI Mode, build evaluation systems, and collaborate with product, research, data science, and partner teams to deliver improvements for Search users.

Skills & qualifications

RequiredNice to have

Skills

Software Development, nice to haveMachine Learning, nice to haveArtificial Intelligence, nice to haveData Analysis, nice to haveGenerative AI, requiredQuality Evaluation, requiredModel Training, requiredSearch Quality, requiredLarge Language Model Training, nice to havePrompt Tuning, nice to haveModel Evaluation, nice to haveAutomated Metrics Design, nice to haveUser-Facing AI Products, nice to have

Qualifications

Bachelor's Degree or Equivalent Practical Experience, required5 Years Software Development or 3 Years With Advanced Degree, requiredMaster's or PhD in Related Field, nice to have

Full job description

Senior Software Engineer, GenAI, Search Share Senior Software Engineer, GenAI, Search

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corporate_fareGoogleplaceNew York, NY, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages, or 3 years of experience with an advanced degree.

  • Experience working with Machine Learning and Generative AI.

  • Experience conducting data analysis and quality evaluations.

  • Experience with model training and Search Quality.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

  • Experience with Large Language Model (LLM) training, prompt tuning, or evaluating models.

  • Experience conducting data analysis and designing automated qualitative/quantitative metrics (e.g., custom win/loss classifiers).

  • Experience in Search Quality or developing user-facing AI products.

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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place. 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. Responsibilities

  • Be prepared to discuss your knowledge and use of AI tools during the hiring process.
  • Leverage new model capabilities to improve the helpfulness of AI Overviews and AI Mode on Search, adapting and pivoting to build better user experiences based on data and user feedback.
  • Leverage new model capabilities to improve the helpfulness of AI Overviews and AI Mode on Search, adapting and pivoting to build better user experiences based on data and user feedback.
  • Define and build robust auto-raters, tune prompts, evaluate models, and design automated qualitative and quantitative metrics (such as custom win/loss classifiers) to ensure responses are highly helpful.
  • Work closely with Product Managers, UX Research/Design, Data Scientists, and partner teams to identify and deliver impactful product improvements for Search users.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

How this job compares

Set against the 37,860 open Software Engineer jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This posting$174–252K/yr
  • New York median$158–228K/yr2,096 salary ranges
  • US median$131–213K/yr30,848 salary ranges

This range's midpoint, $213K, is 11% above the New York median midpoint ($192K) — in the middle half of Software Engineer salary ranges in New York.

Openings
Olive Jobs lists 2,498 open Software Engineer jobs in New York and 37,860 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 3 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (31,399 postings).
Education
11,531 of the 37,860 open Software Engineer jobs (30%) ask for a bachelor's degree or higher.

Pay, requirements and demand for Software Engineer jobs

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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