Software Engineer, Search Platforms, GenAI Content

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff Software Engineer for the Search Platforms GenAI Content team in Mountain View. You will own outcomes, solve ambiguous problems, and influence stakeholders while advancing GenAI content strategies and infrastructure.

You will design, develop, test, deploy, and maintain software that enhances content understanding, leveraging state-of-the-art GenAI techniques across Google surfaces and products.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 8 years testing/maintaining/launching software products; 5 years in design/architecture.
• 8 years of ML/AI algorithms and tools, deep learning or related modeling.

Responsibilities

• Develop and deploy GenAI technology to empower content understanding and AI-generated content framework.
• Contribute to content tech areas evolution including multimodality content understanding and AI-generated content features.
• Be responsible for holistic content modeling and supporting infrastructure for content understanding across types.
• Enable downstream content applications and measure product impact.

Skills

Outcomes ownership

Ambiguity navigation

Stakeholder influence

Software design & architecture

Education

Bachelor's degree or equivalent practical experience

PhD in CS/Statistics (preferred)

Tools

JAX

TFX

TFlex

Job description

Senior Staff Software Engineer, Search Platforms, GenAI Content

Advanced

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

• 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.

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 has a goal of up-leveling the Central Search Content Platform to enable stronger broader non-existing Search’s experiences, especially with AI generated contents, and aiming to build horizontal content understanding and AI generated content and platform leveraging SoTA AI technology that can ensure a widely impacted experience across Google surfaces, with high efficiency and cohesion. Moreover, in this up-to-discovery new AI era, exploring the new GenAI experience, features or directions would also be essential to our exploitation journey and help bridging 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. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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 .

• Develop and deploy GenAI technology to empower content understanding and AI generated content framework. Be responsible for conducting 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 framework, and structure.
• 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.

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.