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Senior Staff Software Engineer, ML, Search Ads Creatives

Pay
USD 262,000–364,000/yearAnnual period assumed — pay source
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
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Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Build scalable end-to-end infrastructure with tight latency and freshness limits

  • Set roadmap and cross-team OKRs while acting as tech lead

  • Drive automation of ad creation while keeping advertiser ROI in check

  • Collaborate with prediction, auction, and data flow teams on solutions

  • Refine user and advertiser experiences for ads

From the employer’s posting
Build scalable end-to-end infrastructure that can serve under tight latency and freshness constraints.
taking on TL responsibilities such as setting the roadmap, goal, and cross-team Objectives and Key Results (OKRs).
Work in an environment that embraces automation of ad creation while keeping a strict oversight of advertiser constraints and Return on Investment (ROI).
Collaborate closely with organization partners and tech stack (e.g. prediction, auction, data flow)
Refine user and advertiser experiences to find one that meets their needs.
Education & alternatives
**Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 8 years of software development experience in one or more programming languages, data structures, and algorithms.
**Preferred qualifications:** + PhD in Computer Science, Statistics, or related fields. + Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
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Posting record

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Status in our records
Live
First seen by us
Oct 13, 202629 days ago
Recorded sightings
11
Last seen by us
Nov 10, 2026
Employer says posted
Oct 9, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$262K–$364K against $166K–$240K, the middle half of what similar US postings state.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 29

Similar jobs usually come down between day 8 and day 75.

Well past Google’s usual: its jobs come down by about day 3.

From 5,207 similar postings that came down, and 484 of Google’s. Coming down is not always a hire.

Google is hiring

233 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is picking up
  • Takes jobs down quickly
  • 7% of open jobs were reposted
Hiring record

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About Google

People
About 190,820 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as GOOGL.
H-1B visas
1,765 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 617, the most 1,122, and the latest week had 1,122.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

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Senior Staff Software Engineer, ML, Search Ads Creatives Share Senior Staff Software Engineer, ML, Search Ads Creatives _corporate_fare_ Google _place_ Mountain View, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Senior Staff Software Engineer, ML, Search Ads Creatives _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. + 8 years of software development experience in one or more programming languages, data structures, and algorithms. + 8 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling. + 8 years of experience testing, maintaining, or launching software products, and 5 years with software design and architecture. + 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine-tuning). + 2 years of experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or GenAI-related concepts (language modeling, computer vision). **Preferred qualifications:** + PhD in Computer Science, Statistics, or related fields. + Experience in GenAI related model fine tuning, large language models building or product enablement exploration. + Experience in successfully applying GenAI and machine learning approaches to real-world content problems. + Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models. + Excellent programming skills leveraging GenAI tools. + Strong mathematical skills with knowledge of statistical methods. **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. In this role, you will be part of Search Ads and Ads on Google Experiences, creating useful ads that address user needs, complete tasks, and deliver meaningful ROI for advertisers. You will partner with Product, Sales, Marketing, Buyside Platform, and Policy teams. Ad Creatives sits at the heart of this experience, driving automation and transforming our product for an AI-first world. You will help compose ads meeting user and advertiser needs. GenAI accelerates building and shipping products that automate generating and composing 'high quality' assets and monetizing new AI surfaces. Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Work in an environment that embraces automation of ad creation while keeping a strict oversight of advertiser constraints and Return on Investment (ROI). + Drive 10x product adoption and creative thinking on “finding” or building the right quality, extraction, data models and data-driven execution. + Build scalable end-to-end infrastructure that can serve under tight latency and freshness constraints. + Collaborate closely with organization partners and tech stack (e.g. prediction, auction, data flow), and key stakeholders to help identify the right solution, while taking on TL responsibilities such as setting the roadmap, goal, and cross-team Objectives and Key Results (OKRs). + Refine user and advertiser experiences to find one that meets their needs. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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Pay
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

Mountain View, CA

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