Software Engineer, ML, Search Ads Creatives

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 a part of the Search Ads and Ads on Google Experiences, whose mission is to create useful ads that help users address their needs, efficiently 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 and our core focus has been driving automation and transforming our Creatives product for an AI-first world.

You will help compose the right ad to meet users and advertisers needs. The era of GenAI has accelerated the need to quickly build and ship products that automate generation and composition of “high quality” assets and help monetize 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 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 experience with software development in one or more programming languages, and with data structures and algorithms.
• 8 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
• 8 years of experience testing, maintaining or launching software products, and 5 years of experience with software design and architecture.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with 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.