AI/ML Search Personalization Engineer

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a software engineer to contribute to next-gen search and AI-powered features. The role focuses on building scalable systems, improving recommendations, and advancing ML capabilities across products.

The position requires strong coding skills in C++, experience with large-scale systems, and the ability to integrate generative AI tools into production workflows. You will collaborate across teams and grow with Google’s innovation ecosystem.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with C++ programming language.
• 1 year of experience building and deploying recommendation systems models in production.
• 1 year of experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• 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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
• Utilize AI tools and technologies; Be prepared to discuss your knowledge and use of AI tools during the hiring process.

Skills

Software development

C++

Recommendation systems

Generative AI tools

AI workflows

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD (preferred)

Job description

Google LLC in Mountain View, CA is seeking a software engineer to contribute to next-gen search and AI-powered features. The role focuses on building scalable systems, improving recommendations, and advancing ML capabilities across products.

The position requires strong coding skills in C++, experience with large-scale systems, and the ability to integrate generative AI tools into production workflows. You will collaborate across teams and grow with Google’s innovation ecosystem.