The Average Machine Learning Engineer Salary in 2021: What You Need to Know
Machine learning is among the swiftly growing sectors of the tech industry, with a considerable demand for machine learning engineers worldwide. Machine learning algorithms are being used in various fields, including finance, healthcare, marketing, and hospitality. Consequently, the demand for skilled professionals in machine learning is on the rise, resulting in a comprehensive growth in the machine learning engineer’s salary.
What is Machine Learning?
Machine learning is a subfield of artificial intelligence that analyzes and improves computer performance without direct human intervention by discovering patterns and inference in data. In other words, machine learning provides machines with the ability to learn from their experiences independently. As more companies embark on digital transformation and digitalization, machine learning has become essential.
The Average Salary of a Machine Learning Engineer
According to Glassdoor, the average salary for a machine learning engineer in the United States is $112,112 per year. However, this salary varies depending on the location and experience of the professional. Machine learning engineers with two to four years of experience earn an average of $101,877, while those with ten years or more of experience earn an average of $155,085.
In addition to experience, the location of the machine learning engineer also affects their salary. Silicon Valley, which is home to several technology giants, offers the highest salaries for machine learning engineers. According to Glassdoor, the average salary for a machine learning engineer in San Francisco is $134,413, while a machine learning engineer in New York earns an average of $122,961 per year. On the other hand, a machine learning engineer in Austin, Texas, earns an average salary of $97,036 per year.
In-demand Machine Learning Skills
The skills that machine learning engineers possess play a significant role in determining their earning potential. In addition to being well-versed in computer science and mathematics, machine learning engineers need to have excellent data analysis and programming skills; knowledge of programming languages like Python, R, and Matlab are also essential.
Other in-demand skills for machine learning engineers include natural language processing, deep learning, and neural networks. A machine learning engineer who specializes in these skills will earn significantly more than one who does not.
The Future of Machine Learning Engineer Salaries
As technology continues to advance, the demand for machine learning engineers will increase. Many companies worldwide are seeking to implement machine learning in their operations, increasing the demand for skilled machine learning engineers. As a result, machine learning engineers can expect to see a steady increase in their salaries in the coming years.
Conclusion
Machine learning is a growing industry, and machine learning engineers play a crucial role in organizations worldwide. The average machine learning engineer salary is determined by experience, location, and a range of in-demand skills. With continued growth in the field, machine learning engineers can expect their salaries to continue to increase in the future.
(Note: Do you have knowledge or insights to share? Unlock new opportunities and expand your reach by joining our authors team. Click Registration to join us and share your expertise with our readers.)
Speech tips:
Please note that any statements involving politics will not be approved.