Machine Learning Engineer Salary in California, United States

Updated on Jan 28, 2025

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As of 2025, the average salary for Machine Learning Engineer in California, United States starts from $80k per year and goes up to $300k per year.

0-2 years

$80k-$110k per annum

2-5 years

$110k-$150k per annum

5-10 years

$150k-$200k per annum

10+ years

$200k-$300k per annum

Machine Learning Engineer Salary Trend in California, United States

Machine Learning Engineer Salaries in Other Locations

Slovakia
€20k - €80k
Hungary
1M HUF - 20M HUF
Timor-Leste
$7k - $100k
Maldives
ufiyaa30k - ufiyaa160k
Côte d'Ivoire
2.4M - 20M
Norway
kr550k - kr1.5M
Laos
₭7M - ₭112M
Uzbekistan
$10k - $250k
Taiwan
NT$1.5M - NT$8M
Belarus
$20k - $100k

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About Machine Learning Engineer

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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About California, United States

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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