AI/ML Software Engineer - Ads Platform

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Job summary

Google is seeking a Software Engineer III, AI/ML for Google Ads in Irvine, CA. The role requires mid-level experience with Python or C++, and hands-on work across speech, reinforcement learning, and ML infrastructure. You will impact a multi-billion dollar ads platform and collaborate with researchers to push AI forward.

Responsibilities include coding, design reviews, documentation, debugging, and deploying ML models at scale. Google emphasizes equal opportunity and a culture of collaboration.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or ML field specialization.
• 1 year of experience with ML infrastructure (model deployment, evaluation, data processing, debugging).
• Master's or PhD preferred for advancement or specialization.

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 and adapt content based on updates and feedback.
• Triage product or system issues and debug/resolve impacts on hardware, network, or services.
• Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python programming

C++ programming

Speech processing

Reinforcement learning

ML infrastructure

Model deployment

Education

Bachelor's degree

Equivalent practical experience

Job description

Google is seeking a Software Engineer III, AI/ML for Google Ads in Irvine, CA. The role requires mid-level experience with Python or C++, and hands-on work across speech, reinforcement learning, and ML infrastructure. You will impact a multi-billion dollar ads platform and collaborate with researchers to push AI forward.

Responsibilities include coding, design reviews, documentation, debugging, and deploying ML models at scale. Google emphasizes equal opportunity and a culture of collaboration.