How much do machine learning engineers make? 2022

As a rapidly growing field, the demand for machine learning engineers is increasing at a rapid pace. As a result, these professionals are in high demand and can command high salaries. In this article, we will take a detailed look at the salaries of machine learning engineers and what factors can influence their pay.

To begin with, it's important to understand that the term "machine learning engineer" is a broad one, and can refer to a wide range of professionals who work with machine learning technologies. These professionals can have a variety of roles, including data scientists, software engineers, and artificial intelligence engineers, among others. For the purposes of this article, we will focus on the salaries of machine learning engineers who work specifically on the development and implementation of machine learning models and algorithms.

So, how much do machine learning engineers make per year? According to data from Glassdoor, the median annual salary for a machine learning engineer in the United States is $121,000. This number can vary significantly depending on a variety of factors, including the individual's level of experience, education, and location.

For example, entry-level machine learning engineers with less than three years of experience can expect to earn a median salary of around $92,000 per year. Mid-level machine learning engineers with three to five years of experience can expect to earn a median salary of around $118,000 per year, while senior machine learning engineers with more than five years of experience can expect to earn a median salary of around $142,000 per year.

It's also important to note that these figures are just median salaries, and actual salaries can vary significantly based on the individual's skills, qualifications, and job responsibilities. Some machine learning engineers may earn much more than the median salary, while others may earn less.

In addition to experience and education, location can also play a significant role in determining a machine learning engineer's salary. Machine learning engineers in larger, more expensive cities like San Francisco and New York can expect to earn higher salaries than those in smaller or less expensive cities. According to data from Glassdoor, machine learning engineers in San Francisco have a median salary of $139,000 per year, while those in New York have a median salary of $133,000 per year.

Other factors that can influence a machine learning engineer's salary include the industry in which they work and the size and type of company they work for. Machine learning engineers who work in the tech industry or at larger, well-established companies may earn higher salaries than those who work in other industries or at smaller startups.

In addition to their base salary, machine learning engineers may also be eligible for a variety of benefits and perks, such as stock options, 401(k) plans, health insurance, and paid time off. These benefits can vary significantly from company to company, so it's important for machine learning engineers to carefully consider the overall compensation package when evaluating job offers.

It's worth noting that the demand for machine learning engineers is expected to continue to grow in the coming years. According to data from the Bureau of Labor Statistics, employment of computer and information technology occupations is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations. This growth is expected to create many new job opportunities for machine learning engineers, which could potentially lead to even higher salaries in the future.

In conclusion, machine learning engineers can command high salaries, with a median annual salary of $121,000 in the United States. Factors such as experience, education, location, industry, and the size and type of company can all influence a machine learning engineer's salary. Get started looking for jobs on The AI Job Board Today.