If you love researching, designing, and building artificial intelligence, you must attain a machine learning engineering degree. With the growth of the business world and advancement in technology, the demand for machine learning engineers has also increased. Top-tech companies are seeking skilled professionals to make their companies reach heights. As a reward, they are offering high salaries!

Through this article, let us explore how machine learning salaries in the US vary with location and experience level.

Machine Learning Engineer Salary in the US

The average base salary of a machine learning engineer in the United States is $161,777 per annum. However, the salary primarily relies on the machine learning engineer's experience level and job location. Let us know how these two factors influence the salary package in the United States.

Job Location: Salaries vary with country and region. Since different countries have distinct economic conditions, some have advanced economic conditions, which implies a high standard of living. Some have low economic conditions where employees' pay structure requires constant adjustments with relocation. 

For instance, two friends who graduated from the same college have been placed in two countries: one in a US-based company and the other in Bangladesh. Their salaries vary accordingly. One placed in the US gets high pay, while the other receives a low salary at the same position.

Job Experience: Companies seek skilled professionals. Skills develop with experience. The higher the experience of a machine learning engineer, the higher the pay. For instance, an entry-level or junior machine learning engineer gets a lower salary than a senior machine learning engineer.

Machine Learning Engineer Salary in the US: Based on Experience

Know that the salary of an entry-level machine learning engineer and a senior-level machine learning engineer can always be different. Companies provide rewards based on the worker's performance, hard work, and expertise, which leads to better profits and efficiency. Let us explore variable machine learning engineer salaries in the US based on their experience level.

Entry-Level Machine Learning Engineer Salary in the US

The US's entry-level machine learning engineer salary is $152,601 per annum. However, certain top-tech companies, like FAANG, offer higher salaries. 

For instance, 

  • A machine learning engineer's salary in the US working in Meta for 0-1 years earns an average pay of $1,69,050 per annum.

Mid-Level Machine Learning Engineer Salary in the US

A mid-level or lead machine learning engineer earns an average base pay of $1,66,399 annually. The salaries vary with the company's reputation and standards. 

For instance, 

  • A mid-level machine learning engineer with 1 to 3 years of experience in Meta earns a base pay range of $1,32,326 to $1,81,999 per annum with additional cash bonuses, stock bonuses, and other benefits.
  • Meta offers an average base pay range of $1,41,009 to $1,93,263 annually to machine learning engineers with 4-6 years of experience.

Experienced Machine learning engineer Salary in the US

A senior machine learning engineer earns an average base salary of $1,72,654 annually with additional cash and non-cash benefits.

For instance, 

Machine learning engineer Salary in the US: Based on Location

Since we know how location influences the salary packages of machine learning engineers, let us quickly review variable salaries based on different regions of the United States of America.

San Francisco, CA

A machine learning engineer earns an average base pay of $179,061 annually in San Francisco, California.

New York City, NY

An average base pay of $184,982 annually is offered to machine learning engineers in New York, NY.

Seattle, WA

The average base salary of a machine learning engineer in Seattle, Washington, is $173,517 per annum.

Los Angeles, CA

Companies in Los Angeles offer an average base pay of $159,56 per annum to a machine learning engineer.

Austin, TX

The average base salary of a machine learning engineer in Austin is $156,831 per annum.

Washington, DC

Companies hire machine learning engineers in Washington, DC, with an average base salary of $174,706 annually.

Chicago, IL

The average base salary of a machine learning engineer in Chicago is $164,024 per annum.

Location

Average Base Salary (Annually)

San Francisco, CA

$179,061

New York City, NY

$184,982

Seattle, WA

$173,517

Los Angeles, CA

$159,560

Austin, TX

$156,831

Washington, DC

$174,706

Chicago, IL

$164,024

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Conclusion

Organizations hire highly skilled candidates with extensive field experience. They seek candidates who can contribute to greater profitability and efficiency. Landing a high-paying job in the competitive job landscape in the United States is challenging. However, getting hired by top-tech companies has become easy with the right approach and expert guidance.

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