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 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.
Responsibilities
- Manage open-ended problems where the solution's nature is unclear. Make technical contributions and deliver on end-to-end tasks within project goals.
- Lead efforts to reduce system issues. Anticipate scaling bottlenecks, and simplify existing infrastructure to ensure system health. Design, develop, test, deploy, and maintain software solutions to improve the quality of Artificial Intelligence (AI)-generated content (e.g., Artificial Intelligence OverviewAI Mode (AIO/AIM)) on the Search Results Page (SRP).
- Implement and experiment with various Artificial Intelligence/Machine Learning (AI/ML) models and algorithms. Analyze experiment results and system performance to identify and drive quality improvements.
- Collaborate with executive engineers, researchers, and product managers to understand requirements, contribute to designs, and build solutions.
- Contribute to code reviews, documentation and best practices within the team. Debug and resolve issues in production systems.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development.
- Experience in AI platform and Machine Learning infrastructure with establishing standards and quality metrics.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience with large-scale distributed systems, and with frameworks and tools related to AI/ML development and deployment.
- Experience with search technologies or information retrieval.