Staff Software Engineer, Generative AI Content, Search Platforms

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.

• 5 years of experience testing, and launching software products, and 3 years

of experience with software design and architecture.

• 5 years of experience leading 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:

• Master’s degree or PhD in Engineering, 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.

• 3 years of experience working in a complex, matrixed 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.

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 to enable stronger broader new

Search’s experiences with content, especially with AI generated content, and

build a horizontal Content Understanding, AI generated Content and Platform

leveraging SoTA AI technology that can widely applied across Google surfaces,

with high efficiency and cohesion. Moreover, in this up-to-discovery new AI era,

we bridge AI research and product execution to discover GenAI features and lead

innovative content product strategies.

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.

• Work with collaborating teams (e.g., Research, Search, Ads, etc.) engineers

to integrate new GenAI technology into our Content products and services.

• Contribute to the goals and roadmaps of Search Content Platform’s next

generation.

• Be responsible for holistic content modeling and supporting infrastructure

that yield our content understanding across different content types, which in

turn drive high-fidelity and consistent downstream product experiences across

Search, etc.