Senior Staff Software Engineer, Search Platforms, GenAI Content

Google; Jasper (AL); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a Senior Staff Software Engineer for the Content and GenAI Exploration team. You will lead GenAI-based content understanding and AI-generated content framework, shaping how content is modeled and delivered across Google Search.

The role requires deep expertise in ML/AI, large-scale systems, and GenAI techniques with ownership of project direction and high-impact outcomes. You will collaborate across teams to push innovative GenAI experiences and ensure robust deployment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in one or more languages, and 5 years in design/architecture.
• 8 years of experience with ML/AI algorithms and tools, deep learning or similar.
• 2+ years GenAI techniques or concepts.

Responsibilities

• Develop and deploy GenAI technology to empower content understanding and AI-generated content framework.
• Conduct applied research on new GenAI techniques to explore new content experiences and direction.
• Contribute to content tech evolvements including multimodality content understanding and AI-generated content features and measurements.
• Ensure holistic content modeling and supporting infrastructure across Search and related products.
• Enable downstream content applications with AI exploration capabilities and improve product metrics.

Skills

Software development

ML/AI algorithms

GenAI

Leadership in projects

Programming languages

Education

Bachelor's degree or equivalent practical experience

PhD in CS/Statistics or related fields

Tools

JAX

TFX

TFlex

Job description

Senior Staff Software Engineer, Search Platforms, GenAI Content

Location: Mountain View, CA, USA

Experience Level: Advanced

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
• 8 years of experience testing, maintaining or launching software products, and 5 years of experience with software design and architecture.
• 8 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (language modeling, computer vision).

Preferred Qualifications

• PhD in Computer Science, Statistics, or related fields.
• Experience in GenAI related model fine-tuning, large language models building or product enablement exploration.
• Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
• Experience with deep learning frameworks such as JAX, TFX or TFlex.
• Strong mathematical skills with knowledge of statistical methods.
• Excellent programming skills leveraging GenAI tools.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Content and GenAI Exploration team aims to up-level the Central Search Content Platform to enable stronger, broader non-existing Search experiences, especially with AI generated contents, and aims to build horizontal content understanding and AI generated content and platforms leveraging state-of-the-art AI technology that can ensure a widely impacted experience across Google surfaces, with high efficiency and cohesion. Moreover, in this new AI era, exploring new GenAI experiences, features, or directions would also be essential to our exploration journey and help bridge research and product to up-level the GenAI Content product strategy innovatively, which is another mission of our team.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure while maintaining a universally accessible and useful experience that people around the world rely on. By joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Develop and deploy GenAI technology to empower content understanding and AI generated content framework.
• Conduct applied research on new GenAI techniques to explore the new content experience and direction.
• Contribute to content tech areas evolvements including multimodality content understanding (tagging, semantic, reasoning, etc.), agentic AI content generation with proper evaluation, AI generated content, features, signal building and measurements, and rebasing the GenAI empowered knowledge graph/topic spaces with advanced frameworks and structures.
• Be responsible for holistic content modeling and supporting infrastructure that yield our content understanding across different content types, which in turn drives high-fidelity and consistent downstream product experiences across Search, etc.
• Enable downstream content applications with those AI exploration capabilities; and move the corresponding product metrics.
• Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

**US Salary Range:** $262,000 - $364,000 (USD) + 25% bonus target + equity + benefits

*Learn more about benefits at Google.*

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Locations: Mountain View, CA, USA

Experience Level: Advanced

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