Software Engineer, AI & Recommender Systems

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

Job summary

Google in Mountain View is hiring a software engineer to work on next-generation AI and commerce platforms. You will write production-grade code, collaborate across teams, and help advance search quality, retrieval and personalization at scale.

The role emphasizes building and deploying recommendation systems and applying ML infrastructure to production workloads. The team focuses on subagent orchestration, visual shopping, and autonomous exploration to improve experiences for billions of users

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with C++ and Python programming languages, or 1 year of experience with an advanced degree.
• 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).

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.
• 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.

Skills

C++

Python

Recommender systems

ML infrastructure

Education

Bachelor's degree or equivalent

Master's or PhD preferred

Job description

Google in Mountain View is hiring a software engineer to work on next-generation AI and commerce platforms. You will write production-grade code, collaborate across teams, and help advance search quality, retrieval and personalization at scale.

The role emphasizes building and deploying recommendation systems and applying ML infrastructure to production workloads. The team focuses on subagent orchestration, visual shopping, and autonomous exploration to improve experiences for billions of users