- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software engineering, with experience in applying AI/ML techniques to real-world problems.
- 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 5 years of experience testing, and launching software products.
- 5 years of experience leading the Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience with software design and architecture.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Experience successfully leading and delivering complex software projects at scale.
- Experience with modern deep learning architectures and frameworks.
- Understanding of machine learning fundamentals.
- Excellent skills in one or more relevant languages (e.g., Python, C++, Java).
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.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
- Own the technical goal and roadmap for the Search Results Page, with a focus on integrating, ensure quality, and optimize performance of AI Mode and AI overview experiences.
- Identify, evaluate, and integrate Generative AI models (LLMs) and techniques to improve SRP components, information retrieval, synthesis and user interaction within AI Mode.
- Design and implement systems to combine and present information (text, images, video) within AI Overviews, creating a cohesive user experience.
- Design, build, and maintain scalable and reliable distributed systems that generate, rank, and display AI Overviews and AI Mode content. Ensure these systems integrate with generative AI models, search infrastructure and client applications.
- Develop and implement systems for evaluating, monitoring, and improving the quality, accuracy, coherence, and safety of AI Overviews and AI Mode responses. Includes defining metrics, creating feedback loops and implementing safeguards.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.