Senior AI/ML Software Engineer - Ads Retrieval & Efficiency

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Senior Software Engineer specializing in AI/ML for Ads Retrieval and Resource Efficiency Optimization. You will work on large-scale systems, deploying models and optimizing performance in a fast-paced environment.

The role requires strong coding in Python or C++, experience with end-to-end ML pipelines, and collaboration with researchers. This position offers competitive compensation, equity, and comprehensive benefits as part of Google’s rewards.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years software development experience in Python or C++.
• 3 years testing, maintaining, or launching software products; 1 year in design/architecture.
• 3 years end-to-end ML experience (deployment, evaluation, data processing).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• 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 sources of issues and impact on hardware, network, or service operations.
• Design and implement solutions in ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

ML deployment

Data wrangling

SQL

Leadership

Education

Bachelor's degree

Master's degree or PhD

Job description

Google LLC in Mountain View, CA is seeking a Senior Software Engineer specializing in AI/ML for Ads Retrieval and Resource Efficiency Optimization. You will work on large-scale systems, deploying models and optimizing performance in a fast-paced environment.

The role requires strong coding in Python or C++, experience with end-to-end ML pipelines, and collaboration with researchers. This position offers competitive compensation, equity, and comprehensive benefits as part of Google’s rewards.