Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube

Google; San Bruno (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a software engineer to help design and build scalable systems, including large-scale information retrieval and AI-driven components. The role emphasizes collaboration, code quality, and continuous learning across projects that impact billions of users.

Applicants should have strong experience in Python, C++, and ML tooling, plus a background in building production-ready recommendation models.

Qualifications

• Bachelors degree or equivalent practical experience required.
• 2 years programming in Python and C++.
• 1 year building and deploying recommendation systems in production.
• 1 year working with ML infrastructure for model deployment and data processing.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content to updates and user feedback.
• Triage issues and debug/resolve impacts on hardware, network, or service operations.
• Build and deploy recommendation systems models and optimize data processing.

Skills

Python

C++

Recommendation systems

ML infrastructure

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python and C++.
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.

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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .