Staff Software Engineer, ML, Search Ads Creatives
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 8, 2026. Google scores B on the Alion truth index.
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 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: $207000 - $300000 (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 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.
Qualifications
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.