AI/ML Search Personalization Engineer | Equity & Bonus

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

Job summary

Google is seeking software engineers to work on scalable systems and AI-enabled features across our search and infrastructure stack. You will design, implement, and optimize code for high-volume production environments, collaborating across teams to deliver reliable systems and innovative user experiences.

The role emphasizes C++ development, distributed computing, and applying machine learning to improve search quality, recommendations, and personalization in production workloads.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages (or 1 year with an advanced degree).
• 2 years of experience with C++ programming language.
• 1 year building and deploying recommendation systems models in production (retrieval, prediction, ranking, personalization, search quality, embedding).
• 1 year 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.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact.
• Implement solutions in one or more ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Programming languages experience

C++ programming

Recommendation systems in production

Generative AI / LLM integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking software engineers to work on scalable systems and AI-enabled features across our search and infrastructure stack. You will design, implement, and optimize code for high-volume production environments, collaborating across teams to deliver reliable systems and innovative user experiences.

The role emphasizes C++ development, distributed computing, and applying machine learning to improve search quality, recommendations, and personalization in production workloads.