Machine Learning Salary: A 2025 Guide

With the rise of AI technology, machine learning is a booming industry, offering an excellent job outlook and high salaries. Within the discipline of machine learning, you’ll find a range of career positions, from data scientists to deep learning engineers. At a glance, here's what you can expect from the field:

• Machine learning professionals earn a competitive salary: while data scientists earn $129,516 on average a year, deep learning engineers earn an average of $159,201 [4,5].

• The field is growing. According to the US Bureau of Labor Statistics, data scientist job openings are projected to increase by 34% between 2024 and 2034 [11].

• Numerous positions use machine learning, including data scientists, machine learning engineers, and natural language programming engineers.

In this article, you’ll learn about different machine learning roles, their salaries, and how to earn a high wage in the field. Afterward, if you want to start building your machine learning skills, consider enrolling in Stanford and DeepLearning.AI's Machine Learning Specialization.

What is machine learning?

Machine learning is part of the field of artificial intelligence (AI) that works with data to develop systems and algorithms that imitate human thinking, learning, and behavior. Advances in machine learning have allowed machines to recognize visuals and understand text, and consequently form an action as a human would when solving a problem.

Technology that uses machine learning includes chatbots, recommendations on apps like Netflix and Amazon, and even self-driving cars. 

Machine learning salary: Does machine learning pay well?

Your machine learning salary can vary depending on the role you work in. Studying machine learning in a college or university or gaining certification can set you up for numerous positions with high salaries. Even entry-level jobs can come with higher-than-average salaries, with roles such as a junior data scientist earning an average annual salary of $76,971 [1].

You can expect even higher salaries as you progress in your machine learning career. For example, a senior deep learning engineer earns an average salary of $211,304 per year [2]. Your salary can vary depending on the industry you work in and the company that employs you, as well as your level of education, experience, and range of skills.

Given the breadth of machine learning roles and the numerous titles, it’s impossible to cite an average machine learning salary. Instead, it makes more sense to break it down role by role. Below, you’ll discover a range of machine learning-based roles and their expected salaries.

1. Machine learning engineer salary and job description

Average annual US salary (Glassdoor): $123,333 [3]

Requirements: A bachelor’s degree in computer science, software engineering, information technology, or similar

Machine learning engineers build systems and algorithms that use data to predict and automate the next steps, helping software learn and become more accurate as time passes. Machine learning engineers work in various industries, including health care, manufacturing, marketing, advertising, transportation, and finance.

2. Data scientist salary and job description

Average annual US salary (Glassdoor): $129,516 [4]

Requirements: A bachelor’s degree in computer science, information technology, statistics, or similar

Data scientists use data to help businesses make important decisions. In this role, you analyze and build models and systems to group data, interpret it, make forecasts, and solve problems. Data scientists use machine learning and AI to develop these systems and models and automate steps. 

3. Deep learning engineer salary and job description

Average annual US salary (Glassdoor): $159,201 [5]

Requirements: A bachelor’s degree in computer science, electrical engineering, computer engineering, or similar

Deep learning is a specific branch of machine learning that focuses on neural pathways that machines use to learn and improve tasks, similar to how humans function. Deep learning engineers work on software and models to develop these pathways and come up with usable innovations, such as Apple’s Siri and Amazon’s Alexa, that get smarter as you use them. 

4. Natural language processing (NLP) engineer salary and job description

Average US annual salary (Glassdoor): $123,433 [6]

Requirements: A bachelor’s degree in computer science, data science, engineering, or similar or an associate degree with relevant experience and additional relevant learning

Natural language processing (NLP) is a machine learning subset concerned with how a computer system understands human language. An example is how Siri or Alexa understands what you’re saying when you ask a question. An NLP engineer develops systems that turn voice commands and text into something a computer system understands.

5. Computer vision engineer salary and job description

Average US annual salary (Glassdoor): $125,838 [7]

Requirements: A bachelor’s degree in computer science or related field with programming skills

Computer vision engineers build systems to help computers make sense of visual data to aid the recognition and categorization of images. In this role, you build systems using AI and machine learning technology so computers can detect photos, videos, and other visual data and know the difference. 

Machine learning job outlook

Professionals with skills in machine learning are in high demand across positions. According to the World Economic Forum, AI and machine learning specialists are expected to grow by 40% between 2023 and 2027, resulting in about one million new jobs [8]. Focusing specifically on computer and information research scientists, the US Bureau of Labor Statistics (BLS) cites an expected job growth rate of 26 percent between 2023 and 2033 [9], which is much faster than the average of 4 percent for all jobs in the US. 

How to increase your machine learning salary

A machine learning salary is generally high because it is a skilled industry that attracts top talent. To help yourself stand out and gain jobs with the most significant salaries, you’ll find several steps outlined below.

Study for a degree

For roles in machine learning, the minimum entry requirement is generally a bachelor’s degree in a relevant major, such as computer science, engineering, or data science. You may wish to continue your studies to a master’s degree or even study for a doctorate. According to Salary.com, machine learning engineering salary increases with education level [10]:

• Bachelor’s degree: $126,144–$132,883

• Master’s degree: $127,037–$133,843

• Doctorate degree: $127,394–$134,227

Get experience 

Experience is crucial in how much you earn, as more progression opportunities can arise as you learn more and prove yourself in the industry. You can find opportunities to move into more senior positions or take on leadership roles to increase your machine learning salary. Using an NLP learning engineer as an example, Glassdoor cites the following pay for different years of experience [7]:

• 0-1 years: $131,000

• 1-3 years: $146,000

• 4-6 years: $161,000

• 7-9 years: $174,000

• 10-14 years: $203,000

Top-paying companies in machine learning 

Who you work for has an impact on the salary you receive. Looking at the role of NLP Engineer, Glassdoor lists the following companies as paying the highest average compensation, which includes base salary and additional benefits [7]:

• Google: $257,000-$388,000

• Apple: $216,000-$323,000

• Amazon: $195,000-$272,000

• Adobe: $170,000-$233,000

• DoorDash: $260,000-$383,000

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