Google is seeking a Software Engineer to work on AI/ML for YouTube Ads bidding and advertiser optimization. You will develop software and ML systems at scale, collaborating across teams to design and review code, improve documentation, and provide user-facing improvements. Responsibilities include writing production-grade code, participating in design and code reviews to ensure best practices, contributing to documentation and educational content, triaging and debugging issues affecting hardware, networks, or services, and implementing ML solutions, leveraging ML infrastructure, and optimizing models and data processing. Qualifications include a Bachelor’s degree or equivalent practical experience; 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree; 1 year of experience with speech/audio technologies, reinforcement learning, ML infrastructure, or related ML field; 1 year of experience with ML infrastructure including model deployment, evaluation, optimization, data processing, and debugging. Preferred qualifications include a Master’s degree or PhD in Computer Science or related fields; 2 years of experience with data structures and algorithms; experience in ML systems, quality, ranking algorithms (e.g., search ranking, ads quality, recommendations) and key concepts like P/R. About the job: Google’s software engineers build next-generation technologies for billions of users; this role is on-site in Mountain View, CA. Salary in the US is $147,000 - $210,000 (USD) plus a 15% bonus target, equity, and benefits.

Google is seeking a Software Engineer to work on AI/ML for YouTube Ads bidding and advertiser optimization. You will develop software and ML systems at scale, collaborating across teams to design and review code, improve documentation, and provide user-facing improvements. Responsibilities include writing production-grade code, participating in design and code reviews to ensure best practices, contributing to documentation and educational content, triaging and debugging issues affecting hardware, networks, or services, and implementing ML solutions, leveraging ML infrastructure, and optimizing models and data processing. Qualifications include a Bachelor’s degree or equivalent practical experience; 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree; 1 year of experience with speech/audio technologies, reinforcement learning, ML infrastructure, or related ML field; 1 year of experience with ML infrastructure including model deployment, evaluation, optimization, data processing, and debugging. Preferred qualifications include a Master’s degree or PhD in Computer Science or related fields; 2 years of experience with data structures and algorithms; experience in ML systems, quality, ranking algorithms (e.g., search ranking, ads quality, recommendations) and key concepts like P/R. About the job: Google’s software engineers build next-generation technologies for billions of users; this role is on-site in Mountain View, CA. Salary in the US is $147,000 - $210,000 (USD) plus a 15% bonus target, equity, and benefits.