Staff Software Engineer, Workspace Editors, Docs AI

Google Inc.; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer for Workspace Editors, Docs AI, to own GenAI features across Google Docs and Workspace. You will build end-to-end AI-powered editing capabilities, deploy ML systems, and collaborate with DeepMind teams to impact billions of users.

The role emphasizes leadership, architecture, and delivering high-quality GenAI products while navigating ambiguity and influencing stakeholders in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 5 years of experience testing, and launching software products.
• 2 years of experience with GenAI techniques.
• Experience in building Generative AI applications.

Responsibilities

• Conduct evaluations and assessments for Generative AI models to build high quality AI features in Docs and Editors.
• Develop machine learning systems and full stack client-server features.
• Design and implement features that are high quality and provide real user benefit.
• Balance experimentation with delivering real user value as we develop GenAI capabilities.

Skills

Software development

GenAI techniques

Machine learning

LLMs

Deep learning

NLP

TensorFlow

Education

Bachelor's degree

Tools

TensorFlow

Job description

Staff Software Engineer, Workspace Editors, Docs AI

Share Staff Software Engineer, Workspace Editors, Docs AI

• link Copy link

corporate_fare Google place New York, NY, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Staff Software Engineer, Workspace Editors, Docs AI

• link Copy link
• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience in building Generative AI applications, Agentic workflows and GenAI quality evaluation.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML disciplines.

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.

The Documents team mission is to differentiate the Docs editor and connect our users through effective and simple tools for collaboration and productivity. Our strategy is to build new ways of collaborating within Docs and across Google Workspace powered by Generative AI. We will continue to work on ways to help users more efficiently write high-quality, productive documents using assistive technologies.

This role involves building full stack Generative AI features for Google Docs. This includes Gen AI quality iterations and evaluations to build AI features in Google Docs.

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 DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

The Documents team mission is to differentiate the Docs editor and connect our users through effective and simple tools for collaboration and productivity. Our strategy is to build new ways of collaborating within Docs and across Google Workspace powered by Generative AI. We will continue to work on ways to help users more efficiently write high-quality, productive documents using assistive technologies.

This role involves building full stack Generative AI features for Google Docs. This includes Gen AI quality iterations and evaluations to build AI features in Google Docs.

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 DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• Conduct evaluations and assessments for Generative AI models to build high quality AI features in Docs and Editors.
• Develop machine learning systems and full stack client-server features.
• Design and implement exciting features that are high quality and provide real user benefit.
• Balance experimentation with delivering real user value as we develop our Generative AIcapabilities.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.