How much does a Lead AI Engineer make in Berkeley, CA? The average Lead AI Engineer salary in Berkeley, CA is $162,036 as of March 26, 2020, but the range typically falls between $155,294 and $173,796. 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.
About Berkeley, California Berkeley (/ˈbɜːrkli/ BURK-lee) is a city on the east shore of San Francisco Bay in northern Alameda County, California. It is named after the 18th-cen....More
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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. Works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. (Copyright 2020 Salary.com)
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Includes base and annual incentives
7 + years experience
10 + years experience
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