About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Drive Intelligence team built intelligence features into Google Drive to improve the quality of life for over 1 billion users.

We will manage many of the GenAI features in Drive, leveraging our machine learning expertise to ensure high quality and maximum success. We work closely with other teams in Drive and with the Workspace AI Platform team and Gemini to own features end-to-end and to build core infrastructure used across many features such as PDF, Image, and Video understanding, Search, and Gemini for Workspace. We are focused on ensuring that these features continue to have an impact for our users and for the business for years to come.

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google Deep Mind), work with exceptional leaders, and have the ability to impact billions of users across the world.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with Large Language Models and traditional machine learning models to build user-facing features for Google Drive by building datasets, running human and automated evaluations, and iterating on quality through prompt engineering, context engineering, and dataset maintenance.

• Build infrastructure to enable and support AI features, such as by loading and managing data for the models (e.g., RAG) and using the model’s output in useful ways.

• Work on both feature development and common infrastructure that is shared across Drive and the broader Workspace team.

• Work cross functionally to make sure we are respecting users privacy and landing useful and high quality features.

• Interact with the features you are building. Help small businesses and users be more organized and productive.

Minimum qualifications

• Bachelor's degree in Computer Science, IT, a related field or equivalent practical experience.

• 2 years of experience in Software Engineering, and coding experience in two or more of the following languages: Java, C/C++, C#, Objective-C, Python, JavaScript, PHP, Ruby or Go.

• Experience in Object-Oriented Design and programming concepts.

• Experience in C++, Machine Learning, Data Analysis.

• Experience with Generative AI, Generative AI Agent, Natural Language Processing, Large Language Model.

Preferred qualifications

• Experience with Large Language Model.