Google Ads is powered by teams building Google's advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our products connect people and businesses with useful ads and help advertisers grow their businesses—from small shops to large brands and YouTube creators. Individual pay is determined by job-related skills, experience, and relevant education or training. In the United States, compensation ranges from $147,000 to $210,000 per year, plus a 15% bonus target, equity, and benefits.

Responsibilities

Minimum Qualifications:

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices across available technologies (style guidelines, code checks, testing, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, networks, services, and quality.
Implement solutions in one or more ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++ and Python, or 1 year with an advanced degree.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
1 year of experience with ML infrastructure (model deployment, evaluation,

About the role

Google Ads is powered by teams building Google's advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our products connect people and businesses with useful ads and help advertisers grow their businesses—from small shops to large brands and YouTube creators. Individual pay is determined by job-related skills, experience, and relevant education or training. In the United States, compensation ranges from $147,000 to $210,000 per year, plus a 15% bonus target, equity, and benefits.

Responsibilities

Minimum Qualifications:

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices across available technologies (style guidelines, code checks, testing, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, networks, services, and quality.
Implement solutions in one or more ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++ and Python, or 1 year with an advanced degree.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
1 year of experience with ML infrastructure (model deployment, evaluation,

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