MLOps/AI Engineer/ Data Scientist
New
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Build and improve forecasting models and capacity planning solutions for cloud infrastructure to meet service level objectives. You'll work mostly independently on end-to-end technical projects, collaborate cross-functionally with engineers and subject matter experts, and solve ambiguous problems involving analysis, launches, and documentation. The role requires a Master's degree in a quantitative field plus three years of experience with analytics, coding (Python, R, SQL), or databases, or a PhD; preferred qualifications include a PhD and five years in analytics or data science with forecasting and machine learning experience.
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Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.
251K – 367K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 88 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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