Senior Staff Software Engineer, Recommendations, Rankings, Predictions, Search Discovery

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 7 years of experience leading technical project strategy, ML design, and

working with ML infrastructure (e.g., model deployment, model evaluation,

data processing, debugging, fine tuning).

• 5 years of experience building and deploying recommendation systems models

(retrieval, prediction, ranking, embedding) in production and experience

building architecture in different modeling domains.

• 5 years of experience with design and architecture; and testing/launching

software products.

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.
• 5 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.

Join Discover Ranking to handle some of the most challenging problems in

AI-driven personalization. We're building the world's most intelligent content

recommendation engine, using advanced Deep Learning models like DeepNow,

exploring LLMs, and developing novel ranking paradigms. Your work will directly

influence what hundreds of millions of users see daily, optimizing for

engagement, and satisfaction. We grow on innovation and impact. If you're eager

to work on AI at scale, this is your 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

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

RESPONSIBILITIES:

• Provide technical leadership on high-impact projects. Manage project

priorities, deadlines, and deliverables.

• Facilitate alignment and clarity across teams on goals, outcomes, and

timelines. Influence and coach a distributed team of engineers.

• Drive technical project strategy, lead large-scale ML infrastructure

optimization, and oversee the design and implementation of advanced

recommendation systems.

• Explore new techniques to advance content understanding and personalization.