Senior Staff Software Engineer, AI/ML, Multimodal Rich Features

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a technical leadership role, and 5 years managing

people.

• 5 years of experience leading design for machine learning products and

optimizing systems that incorporate machine learning.

• Experience integrating generative AI tools or large language model (LLM)

interfaces into workflows.

PREFERRED QUALIFICATIONS:

• Experience supporting and developing the careers of engineering team members.
• Experience working on user-facing machine learning products.
• Experience setting technical direction and scaling technical impact on

software engineering teams.

• Experience in data analysis with a metrics-first perspective and quality

evaluation.

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.

Search users increasingly expect rich, visual, and personalized content in their

AI Mode and AI Overview responses. Our team builds memory and personalization

for multimodal queries, including Google Lens traffic and increasingly complex

questions that may combine text, images, and other file inputs. Our tech stack

combines classic retrieval/ranking of image results with LLM-native visual

capabilities.

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

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

RESPONSIBILITIES:

• Set technical strategy and prioritization for the multimodal rich features

domain.

• Solve deep technical issues collaboratively at the intersection of core

quality, new features, infrastructural optimizations, and model training.

• Drive team execution and consistently deliver on top-line metrics.
• Spot opportunities proactively to connect the dots across multiple

workstreams.

• Accelerate team members' career growth by establishing next-level scope and

providing regular coaching.