Learn everything you need to know about pursuing a career in machine learning, from the main responsibilities involved with machine learning to salaries for machine learning engineers.

The use of Machine Learning has continued to grow over the past few years, leading to more artificial intelligence applications and a rise in the number of engineering jobs available within the industry.

Machine Learning engineers are responsible for creating and maintaining algorithms capable of performing certain tasks. For example, Amazon uses Machine Learning to determine what other products you may like to buy, while YouTube uses Machine Learning for video recommendations.

Machine Learning engineers are in high demand worldwide and the high salaries these engineers can earn make the field an attractive endeavour.

But how do you become a Machine Learning engineer? That’s the question we’re going to answer in this guide. Here, you’ll find everything you need to know to decide whether a career in Machine Learning is for you. You’ll also find helpful resources on Machine Learning engineer salaries and training programs.

A Machine Learning engineer is a type of software engineer who processes data and uses it to train computers to perform a certain task. Machine Learning engineers use large datasets and connect them with a program that is capable of learning from the information before creating valuable insights.

For example, Machine Learning can be used to help detect credit card fraud or to provide a user with recommendations about what to buy next.

There are a few careers you can pursue in the Machine Learning engineering field:

Machine Learning engineers create programs to ingest large amounts of information and learn from that data. They use big data tools to gather data, then train a program to learn from that information and perform a certain task.

Machine Learning engineers are a type of data scientist. Data scientists are engineers who gather and process data to solve a particular problem and use mathematics to generate insights from a dataset.

Artificial Intelligence engineers use data science and Machine Learning techniques to train machines to conduct certain tasks and often work on specialist projects such as self-driving cars and natural language processing.

No matter what type of Machine Learning engineer you want to be, Career Karma can help you find the right coding bootcamp that matches your unique needs and interests. If you want to learn more about careers in data science, read 

What Does a Machine Learning Engineer Do?

Machine Learning engineers create Machine Learning models and retrain existing systems. They use techniques from data science to help derive insights from a dataset and teach a computer how to recognize patterns in data and learn from those patterns.

A Machine Learning engineer also ensures that all models are always functioning, ingesting information and learning from what they consume. They use big data tools and their own programs to help a computer learn to perform a task on its own. They also scale up existing algorithms and help a company use Machine Learning to achieve its business goals.

Machine Learning engineers also study business problems and then design systems to help solve those problems. They have to choose the right datasets from which to work, build an algorithm and then run tests and experiments to optimize their engine.

Experts have predicted continued growth in data collection, data mining and the need for qualified computer scientists to analyze the data, meaning the job outlook for Machine Learning engineers remains positive.

The Bureau of Labor Statistics does not track Machine Learning engineers in their own category. Rather, they include them as part of the computer and information research scientists classification.

, jobs in computer and information science are expected to grow by 16 percent by 2028, which they describe as “much faster than average.”

How Much do Machine Learning Engineers Earn?

Machine Learning engineers command impressive salaries. According to Glassdoor, salaries for Machine Learning engineers range from $80,000 to $165,000, and the national average salary for Machine Learning engineers is almost 

However, there’s no way to know exactly how much you can expect to earn because Machine Learning engineer salaries depend on the company you work for and where you live. Machine Learning engineers in San Francisco earn an average of 

, whereas the same engineer in Seattle would earn 

Your salary will also depend on how much experience you have. Senior Machine Learning engineers earn toward the higher range of the spectrum. Keep in mind that salary doesn’t include stock options, benefits or other employee perks offered by some tech companies, which you should think about when you’re evaluating a job offer.

How Can You Become a Machine Learning Engineer?

There are a few different paths you can take to become a Machine Learning engineer, but the most common routes fall into one of the following groups:

Each path has its own benefits and drawbacks. In the past, only college graduates and self-taught coders became professional data scientists. However, coding bootcamps have emerged as the top option over the past few years.

 offer a real alternative to a college education. Instead of spending four years in a university and taking on debt, aspiring coders can spend less than a year in a bootcamp learning everything they need to know to pursue a specific career in tech.

Coding bootcamps, which usually last between three and nine months, are intensive training programs designed to prepare you for a specific job in tech. During a bootcamp, you’ll work on a series of immersive projects and build up a portfolio of your work. You’ll also receive the career support you need to transition into your dream job in tech.

Top Skills Needed for Machine Learning Career Success

In order to succeed on your Machine Learning career path, there are several skills you’ll need to learn. Let’s break them down into two categories: technical skills and soft interpersonal skills. We’ll start with the technical skills for Machine Learning engineers.

Essential Technical Skills for Machine Learning Engineers

Below are the technical skills you’ll need to master in order to succeed as a Machine Learning engineer. These skills include programming languages, data science techniques and other tech abilities.

Essential Soft Skills for Machine Learning Engineers

You’ll need to have more than just technical skills to succeed as a Machine Learning engineer—you’ll need to have a whole set of soft skills to thrive.

How to Become a Machine Learning Engineer: Step-by-Step

Here are the steps you’ll need to follow to become a Machine Learning engineer:

The good news is that Career Karma can help you along every step of your journey to becoming a Machine Learning engineer. We’ll provide you with coaching, mentorship and access to a community of peers to support you on your journey.

We’ll also help you prepare for and get accepted to one of the top 

 so you can get the support and training you need to thrive in your new career.