Senior AI/ML Engineer - Recommendations & Ads Systems

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

Benefits offered by this job

Bonus target (15%)

Equity

Benefits

Job summary

Google Mountain View, CA, USA is hiring a Software Engineer III in AI/ML. The role focuses on recommendations, rankings, predictions, and Google Ads, requiring experience with Python or C++, and building production-grade recommendation systems.

In-person interviews are common, with strong emphasis on collaboration across teams and cutting-edge AI work. As part of Google Ads, you will influence ad quality, protect users, and optimize campaigns for advertiser ROI, while partnering with Google

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience building and deploying recommendation systems models in production.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, 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

Python

C++

Recommendation systems

End-to-end ML

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Mountain View, CA, USA is hiring a Software Engineer III in AI/ML. The role focuses on recommendations, rankings, predictions, and Google Ads, requiring experience with Python or C++, and building production-grade recommendation systems.

In-person interviews are common, with strong emphasis on collaboration across teams and cutting-edge AI work. As part of Google Ads, you will influence ad quality, protect users, and optimize campaigns for advertiser ROI, while partnering with Google