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Software Engineer Iii Machine Learning Google Ads jobs at Google in United States, Mountain View

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Mountain View
2,732 jobs found
15.09.2025
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Google Software Engineering Manager Wear OS United States, California, Mountain View

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Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in...
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15.09.2025
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Google Senior Test Engineer Pixel United States, California, Mountain View

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Bachelor's degree or equivalent practical experience. 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging. Master's degree or PhD in Computer Science,...
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15.09.2025
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Google Software Engineer Augmented Reality System United States, California, Mountain View

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Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C++, back-end or 1 year of experience with an advanced degree. 2 years of experience with...
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15.09.2025
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Google Senior Software Engineer AI/ML Android United States, California, Mountain View

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Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and...
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15.09.2025
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Google Software Engineer III Machine Learning Android AI Experience... United States, California, Mountain View

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Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in Python, or 1 year of experience with an advanced degree. Experience with Machine Learning or Machine...
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15.09.2025
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Google Senior Software Engineering Manager Google Cloud United States, California, Mountain View

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Bachelor's degree or equivalent practical experience. 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging. Master's degree or PhD in Computer Science,...
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15.09.2025
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Google Software Engineering Intern MS Summer United States, California, Mountain View

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1. In the “Resume Section:” attach an updated CV or resume. 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,”...
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The role of a Software Engineer III Machine Learning Google Ads in the tech industry at Google in Mountain View, United States requires a creative and forward-thinking professional who is experienced in the latest technologies, Google Ads practices, and machine learning. As a software engineer, you will be responsible for developing Google Ads campaigns and for positioning Google products, as well as leveraging machine learning to optimize user experiences. Additionally, you will be responsible for developing cost-effective solutions to advanced-level technical problems. You will need to be able to leverage data-driven machine learning algorithms to identify opportunities and trends in Google Ads campaigns. You will need to collaborate with data science teams to develop, train, and deploy machine-learning models to accurately improve personalized ads campaigns. You will need to be comfortable working closely with product, engineering, and marketing teams, and assimilating feedback into product design. Along with your understanding of Google Ads campaigns and machine learning algorithms, you will need to have a passion for design and coding; this should be reflected in your experience in software engineering, product design, and coding languages such as Python, JavaScript, and SQL. To fuel continued success in this role, the ideal candidate should be able to lead and manage end-to-end campaigns while adhering to development and QA best practices. You should also be self-motivated and able to work independently on tasks. If you think you’re the perfect fit for this unique opportunity at Google in Mountain View, United States, upload your CV and application to Expoint today! This could be your chance to join a world-class team working with the latest technologies on interesting and challenging projects.