Machine Learning Engineer
2 weeks ago
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How to Become a Machine Learning Engineer
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According to Glassdoor, the average salary for machine learning engineers is $114,121 per year.
Machine learning engineers fall under the data and information scientist career category.
10682
Listings
1500
Hiring Companies
What Do Machine Learning Engineers Do?
Machine Learning Job Description
Machine learning engineers use high-level programming languages and data science skills to design (and operate) algorithms. These professionals need data science skills to create systems that ‘learn’ from data, and to utilize databases to streamline the process. Here are some key tasks of machine learning engineers:
Designing and developing algorithms
Working with databases and large data sets
Maintaining, upgrading, and modifying existing systems
Machine learning engineers focus less on analytics than other data science roles. Instead, these professionals are behind the technical aspects of programs that other data experts use. Machine learning engineers use their technical skills to increase the efficiency of new technologies.
What Are the Required Skills for Machine Learning Careers?
Mathematic
Machine learning engineers rely on engineering practices—many of which require strong mathematical skills. The field also requires statistical knowledge. Mathematical abilities are essential to many operations performed by engineers.
Algorithms
Algorithms are a big part of machine learning. Machine learning engineers should have an in-depth theoretical and practical understanding of algorithms. Algorithms are also a big part of other artificial intelligence-based careers.
Programming Languages
Programming is the foundation of machine learning. As a result, these professionals must be skilled in languages such as Python, R, and sometimes C. Coding skills come from self-study, college, or coding bootcamps.
How Much Do Machine Learning Engineers Make?
City
Average Salary
Entry-Level Salary
Mid-Career Salary
Late-Career Salary
Atlanta, GA
$89,469
$64k
$89k
$115k
Boston, MA
$105,749
$76k
$106k
$134k
Chicago, IL
$94,045
$68k
$94k
$120k
Cleveland, OH
$85,395
$60k
$85k
$109k
Dallas, TX
$91,839
$66k
$92k
$117k
Los Angeles, CA
$101,267
$73k
$101k
$132k
Miami, FL
$88,418
$63k
$88k
$113k
Milwaukee, WI
$87,490
$63k
$87k
$111k
Minneapolis, MN
$93,558
$67k
$94k
$119k
New York, NY
$118,604
$86k
$119k
$149k
Philadelphia, PA
$93,496
$67k
$93k
$119k
Phoenix, AZ
$88,452
$62k
$88k
$113k
Portland, OR
$95,728
$68k
$96k
$120k
San Francisco, CA
$136,289
$102k
$136k
$171k
Seattle, WA
$126,477
$93k
$126k
$160k
Position
Salary
Entry Level (0-4 Years)
$78,000
Mid-Career (5-10 Years)
$114,121
Experienced (10-20 Years)
$125,000
Late-Career (20+ Years)
$150,000
The Types of Machine Learning Engineers
Machine Learning Engineer
How Can You Become a Machine Learning Engineer?
College or University
Numerous machine learning engineers have a college background. Most of these professionals started off in computer science, software engineering, or an analytical STEM field. Others are self-taught and have a background in business or a similar subject.
Coding Bootcamp
Coding bootcamps are dedicated technology degree training programs. These schools, which often last less than a year, are the fastest route into a machine learning job. Many bootcamps offer job guarantees and placement assistance throughout the program.
MOST COMMON
Coding Bootcamps
Self-Study
Some software engineers are self-taught, learning how to code online and from books. For some people, this method works—but often requires a hefty portfolio to prove that the candidate can do what they claim to. Thankfully, freelance positions and personal projects are a good way to demonstrate abilities
FAQ
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