How much does a Principal AI Engineer make in the United States? The average Principal AI Engineer salary in the United States is $150,333 as of January 26, 2023, but the range typically falls between $126,598 and $169,056. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target. View the Cost of Living in Major Cities
Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. Work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Typically requires 7+ years of related experience. (Copyright 2023 Salary.com)
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Core compensation
Includes base and annual incentives
4 - 7 years experience
Master's Degree
7 + years experience
Master's Degree
10 + years experience
Master's Degree
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