Senior Software Engineer, Generative AI, Real World Journeys

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).Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.Develop and work with Machine Learning (ML) models.Minimum qualifications:Bachelor’s degree or equivalent practical experience. 5 years of experience programming in Python or C++.3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).1 year of experience with software design and architecture.1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).Experience integrating generative AI tools or LLM interfaces into workflows.Preferred qualifications: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. Understanding and passion for online local products/services such as dining, events, local business listings and of online consumer products.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 mission of the Real World Journeys (RWJ) Local Flagships team is to make our users local experts for themselves and the people around them, whether it's knowing the trendiest neighborhood restaurants, hidden-gem live concerts at a local bar, or the most trustworthy HVAC technician to call when the air conditioner breaks down. In this role, your mission is to leverage AI agents to research, summarize, and take action on user's behalf so they can more easily complete cumbersome local tasks, such as figuring out the best-valued resale tickets for a sold-out concert. Your work directly impacts the ability for users to effortlessly interact with the physical world around them.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience. 5 years of experience programming in Python or C++.3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).1 year of experience with software design and architecture.1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).Experience integrating generative AI tools or LLM interfaces into workflows.