Senior Software Engineer, Generative AI, Search Ads Personalization

Google•Mountain View, CA

14h

About The Position

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 manage information at a 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. As a part of the core team driving Search Ads Personalization, you will work on personalization models and infrastructure that span every dimension of Search Ads, from Ad Retrieval, Ranking, Auction and Creative writing. You will address challenges that are both deep, requiring a nuanced understanding of the user's needs, and breadth, operating at the scale of Google's entire Search user base. You will work on modeling user preferences and tasks using a myriad of technologies embedding models, language models, as well as building real-time and large-scale inference infrastructure. In this role, you will collaborate across GenAI teams to create and execute on a goal and roadmap to ensure that users feel connected with our GenAI Ads.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.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience programming in Python or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
2 years of experience with state of the art GenAI techniques (LLM, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Nice To Haves

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
1 year of experience in a technical leadership role.
Experience developing and optimizing machine learning algorithms for personalization, ranking, and content recommendation.

Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.