Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience with data structures and algorithms.
- 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Preferred qualifications:
- Master's degree in Computer Science or related technical field.
- Experience in backend coding languages such as GOLang, Rust, or Java.
- Experience working in a cross-functional team with PM, UX, UXR, gTech, and business development.
- Experience developing accessible technologies.
- Experience in ML model coding languages (e.g., Python).
- Experience in cross-functional collaboration, data analysis, and full-stack development.
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.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Responsibilities
- Develop, test, and maintain backend pipelines and APIs in C++ and Java supporting the travel impact model.
- Build and refine responsive web frontends and UI features using TypeScript, JavaScript, and modern web frameworks and build, evaluate, and launch consumer-facing sustainability features and integrations across AI Overviews (AIO) and AI Mode (AIM).
- Collaborate with cross-functional partners in Product, Program Management, and domain advisory committees to deliver sustainability features across Search and AI platforms.
- Analyze datasets and model outputs using SQL and Python/Pandas to validate data quality and track system performance and integrate AI-assisted developer workflows to improve personal engineering velocity and code quality.
- Discuss your knowledge and use of AI tools during the hiring process.