Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming

languages.

• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

• 3 years of experience building and deploying recommendation systems models

(retrieval, prediction, ranking, personalization, search quality, embedding)

in production; and experience building architecture.

• 3 years of experience with ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

• 3 years of experience with data analysis, data manipulation, and statistical

methods.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.
• Knowledge of machine learning concepts, algorithms, best practices and

building large language models.

• Excellent coding skills in Python and C++.
• Excellent problem-solving and investigative skills, with effective

collaboration, communication and team-work skills.

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.

We are building the world's most intelligent content recommendation engine,

using advanced Deep learning models like DeepNow, exploring LLMs, and developing

novel ranking paradigms.

In this role, you will manage some of the most challenging problems in AI-driven

personalization. Your work will directly influence what millions of users see

daily, optimizing for engagement, satisfaction. We grow on innovation and

impact. If you are 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Develop and test new ranking algorithms and model features.
• Analyze experiment results to measure impact and guide improvements.
• Collaborate with other engineers and researchers to implement new ideas.
• Contribute to the quality and reliability of the ranking systems. Explore new

techniques to advance content understanding and personalization. AI fluency

is an expectation in this role. Be prepared to discuss your knowledge and use

of AI tools during the hiring process.

• Design and implement recommendation systems models across different domains,

leverage ML infrastructure, and contribute to architecture design.