Updated on Aug 28, 2026
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As of 2026, the average salary for Machine Learning Engineer in California, United States starts from $80k per year and goes up to $300k per year.
$80k-$110k
$110k-$150k
$150k-$200k
$200k-$300k
A Machine Learning Engineer is a professional who specializes in using data and algorithms to create predictive models and machine learning systems. They work on developing and implementing machine learning solutions to solve complex problems, such as recommendation systems, natural language processing, and computer vision. They need a strong understanding of computer science, statistics, and programming skills to build and optimize machine learning models. Machine Learning Engineers typically work in industries such as technology, finance, healthcare, and e-commerce.
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California, located on the west coast of the United States, is known for its diverse geography that ranges from beaches to mountains, and its economy is one of the largest in the world. The state has a population of approximately 39.5 million people, making it the most populous state in the U.S. California experiences a Mediterranean climate, characterized by dry summers and wet winters in most areas, while its coastal regions enjoy mild temperatures. Popular cuisines include Mexican, Asian, and Californian cuisine, which emphasizes fresh, locally sourced ingredients. The state is also famous for its entertainment industry, technology sector, and beautiful national parks.
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