Google Inc.
Staff Software Engineer, AI Data Generation
Google Inc., Sunnyvale, California, United States, 94087
Staff Software Engineer, AI Data Generation
Google Sunnyvale, CA, USA
Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, design, and architecture.
5 years of experience testing, and launching software products.
3 years of experience working in an organization involving cross‑functional, or cross‑business projects.
Preferred qualifications:
Master’s degree or PhD in Engineering Ere Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
About the job Google's software engineers develop.manager next-generation technologies that ... the large-scale systems. 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.
The AI Data Generation team charter is generating GenAI data and evaluations for Google. Our team has been instrumental in performing LLM/GenAI model evaluations and model fine‑tuning (e.g., using RLHF techniques).
DataGen is our evolving self‑service data generation platform that enables a typical AI product developer to produce verifiable high‑quality data‑sets through automation of workflows, with integrations into pre‑training, post‑training and evaluations infrastructure.
The ML, Systems, & CIF AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do – from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full‑time position is $197,000‑$291,000 + 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
Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for a variety of GenAI use cases, including evaluation and improvement of Generative AI models and launches.
Learn novel GenAI use cases to learn their data needs and identifying solutions leveraging the AI Data Platform.
Work cross‑functionally with Data Science, Product, UX/UER and Operations teams.
Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Manage project priorities,paint deadlines, and deliverables.
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, nation 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.
#J-18808-Ljbffr
Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, design, and architecture.
5 years of experience testing, and launching software products.
3 years of experience working in an organization involving cross‑functional, or cross‑business projects.
Preferred qualifications:
Master’s degree or PhD in Engineering Ere Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
About the job Google's software engineers develop.manager next-generation technologies that ... the large-scale systems. 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.
The AI Data Generation team charter is generating GenAI data and evaluations for Google. Our team has been instrumental in performing LLM/GenAI model evaluations and model fine‑tuning (e.g., using RLHF techniques).
DataGen is our evolving self‑service data generation platform that enables a typical AI product developer to produce verifiable high‑quality data‑sets through automation of workflows, with integrations into pre‑training, post‑training and evaluations infrastructure.
The ML, Systems, & CIF AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do – from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full‑time position is $197,000‑$291,000 + 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
Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for a variety of GenAI use cases, including evaluation and improvement of Generative AI models and launches.
Learn novel GenAI use cases to learn their data needs and identifying solutions leveraging the AI Data Platform.
Work cross‑functionally with Data Science, Product, UX/UER and Operations teams.
Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Manage project priorities,paint deadlines, and deliverables.
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, nation 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.
#J-18808-Ljbffr