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.

The Ads Personalization and Intents team's mission is to build industry-leading ad personalization and intent solutions that connect people to relevant ads and content, while respecting user privacy and building trust. Our team leverages data and Machine Learning (ML) to understand user interests and intent signals that inform relevant, timely ad experiences. We aim to balance value and transparency, developing innovative personalization models powered by responsible use of first-party data. In this role, you will focus on personalization in the Generative AI (GenAI) space, such as building ads creatives or ad explanations.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of Engineers.

• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

• Collaborate across Generative AI teams in ads quality and Google Deep Mind to create and execute on goal and roadmap to ensure that users feel connected with Generative AI ads.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience developing or launching products or technologies within artificial intelligence or machine learning.

• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• Experience developing software applications using C++ programming language.

• Experience with Large Language Models (LLM), Natural Language Processing (NLP), or Generative AI.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

• Experience with Google ads or digital advertising platforms and ecosystems, with a focus on ads personalization.