Staff Software Engineer, ML, Search Ads Creatives

Google LLC; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC seeks a Staff Software Engineer specializing in ML for Search Ads Creatives in Mountain View. You will tackle large-scale AI systems, work across ads, product, and research teams, and drive end-to-end ML solutions from design to deployment.

The role demands advanced experience in ML/AI, GenAI techniques, and leadership of ML design and infrastructure. You will contribute to generating high-quality assets for ads and optimize ROI, with equity and benefits.

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, vision models) or GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Work in an environment that embraces automation of ad creation while keeping strict oversight of advertiser constraints and 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 organizational 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, goals, and cross-team OKRs.
• Refine user and advertiser experiences to find one that meets their needs.

Skills

Software development

ML/AI algorithms

Leadership

GenAI concepts

Education

Bachelor's degree

PhD in CS/Statistics

Tools

Gemini

Job description

Staff Software Engineer, ML, Search Ads Creatives

Location: Mountain View, CA, USA

Experience Level: Advanced

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, 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.
• Strong mathematical skills with knowledge of statistical methods.
• Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models.
• Excellent programming skills leveraging GenAI tools.

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, extending well beyond web search. We're looking for engineers who bring fresh ideas from various 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, exhibit 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 that meet 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 cutting-edge 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 Salary Range: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Work in an environment that embraces automation of ad creation while keeping 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 organizational 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, goals, and cross-team Objectives and Key Results (OKRs).
• Refine user and advertiser experiences to find one that meets their needs.

Additional Information

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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.

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, and 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.