AI/ML Software Engineer – Ads Quality & GenAI

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

Job summary

Google LLC in Mountain View, CA seeks a Software Engineer III focused on AI/ML for App Ads Quality. You will design and implement ML-powered features, collaborate across teams, and contribute to state-of-the-art advertising technology.

The role emphasizes strong software fundamentals, scalable systems, and responsible AI. Applicants should have 2+ years in general purpose languages and 1+ year in ML infra, with a degree or equivalent experience.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with one or more general purpose programming languages including but not limited to: C/C++, Python, or Java.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: ML modeling, ML infrastructure, or specialization in another ML field.

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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

C/C++

Python

Java

Education

Bachelor's degree or equivalent practical experience

Tools

ML infrastructure

Job description

Google LLC in Mountain View, CA seeks a Software Engineer III focused on AI/ML for App Ads Quality. You will design and implement ML-powered features, collaborate across teams, and contribute to state-of-the-art advertising technology.

The role emphasizes strong software fundamentals, scalable systems, and responsible AI. Applicants should have 2+ years in general purpose languages and 1+ year in ML infra, with a degree or equivalent experience.