Senior Staff Software Engineer, AI/ML, Google Workspace

Google; Sunnyvale, Mountain View (CA, CA); Presencial; USD 262.000 - 364.000; Jornada completa

Descripción de la vacante

Google LLC is seeking a Senior Staff Software Engineer, AI/ML for Google Workspace in Sunnyvale, CA. The role emphasizes leading ML design, deploying scalable solutions, and guiding cross-functional teams across major product initiatives.

Ideal candidates have a strong background in software development, architecture, and ML, with experience in large-scale systems and leadership across multiple teams. In-person interactions at interview and location flexibility are noted.

Formación

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years leading architecture, design, and product launches.
• 5 years in ML-related areas such as speech, RL, or ML infra.

Responsabilidades

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on high-impact projects and manage priorities.
• Align goals and timelines across teams; coach distributed engineers.
• Drive ML infrastructure strategy and multi-area solution design.

Conocimientos

Software development

ML design & deployment

Architecture & testing

Leadership & cross-team alignment

Project strategy & execution

Educación

Bachelor's degree or equivalent practical experience

Master's degree or PhD preferred

Descripción del empleo

Senior Staff Software Engineer, AI/ML, Google Workspace

Share Senior Staff Software Engineer, AI/ML, Google Workspace

X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Mountain View, CA, USA.

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
  
• 5 years of experience with design and architecture; and testing/launching software products.
  
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures/algorithms.
• 5 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.

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.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  
• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
  

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 discretionarily 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.