Machine Learning EngineerJob Description, Salary, Career Path, and Trends

A machine learning engineer uses their computer programming skills as well as coding skills in order to obtain data for processing and analyzing. Machine learning engineers develop algorithms and other predictive forms to organize this data through machine learning. For example, when an online chatbot is being utilized by a particular company, it sorts through data using algorithms that were created by machine learning engineers in order to properly respond to the online customer.

Machine learning engineers work in a variety of industries as technology is extremely widespread these days. They develop artificial intelligence and machine learning algorithms that power gadgets, such as Siri, Alexa, online chatbots, marketing bots, and much more.

Sample job description

[Your Company Name] is hiring an amazing and experienced machine learning engineer who loves to innovate and will work hard to keep us on the cutting edge in our technology systems. You will be working with a team of employees on our technology team to make sure that we continue to grow as one of the top companies in the industry. We have a technology-based growth focus and want to continue to invest in our technical team to ensure that we stay current in our products and systems. If you are a team player, work well under pressure, and take pride in pushing to always be the best that you can be, then you will be set for success in this position. You will be tasked with not only developing machine learning technology but also maintaining it and troubleshooting it when there are issues. If this sounds like something you can handle and you are excited to grow with a top company, then this may be the perfect opportunity for you!

Typical duties and responsibilities

  • Programming experience in Python and Java
  • Study science prototypes
  • Build and productionalize machine learning algorithms
  • Evaluate machine learning systems 
  • Analyze statistics data
  • Lead adoption and integration of new technologies to improve our machine learning development and production pipelines
  • Enhance the accuracy of the software 
  • Meet with managers
  • Collaborate with data scientists to improve tools
  • Design machine learning systems and AI software
  • Run tests and monitor prototypes
  • Create prototypes and data sets 
  • Adjust model performance as needed

Education and experience

  • Bachelor’s degree in computer science, machine learning, mathematics, engineering, or related field
  • 2+ years experience required

Required skills and qualifications

  • Exceptional statistics skill 
  • Proficient with AI tools 
  • Programming skills 
  • Integrity and drive
  • Excellent verbal and written communication skills
  • Time management skills
  • Analytical skills 
  • Problem-solving skills
  • Advanced math skills
  • Software engineering skills
  • Data science skills

Preferred qualifications

  • Certifications applicable to a machine learning engineer or related
  • Master’s degree in computer science or related field

Average salary and compensation

The average salary for a machine learning engineer is $142,000 per year in the United States and an average of $155,450 with a yearly bonus included. Salary will vary based on location, company size, education, and level of experience.

LocationSalary LowSalary High
Phoenix, Arizona$141,200$191,050
Los Angeles, California$159,300$215,550
Denver, Colorado$132,750$179,650
Washington, DC$161,750$218,800
Miami, Florida$132,150$178,800
Orlando, Florida$121,900$164,950
Tampa, Florida$123,100$166,550
Atlanta, Georgia$129,150$174,750
Chicago, Illinois$148,450$200,850
Boston, Massachusetts$160,550$217,200
Minneapolis-St.Paul, Minnesota$127,950$173,100
New York City, New York$169,000$228,600
Philadelphia, Pennsylvania$137,600$186,150
Dallas, Texas$134,000$181,250
Houston, Texas$133,350$180,450
Seattle, Washington$154,500$209,000
National Average$120,700$163,300

Typical work environment

Machine learning engineers typically have their own office space. When they aren’t in their office they are on the worksites doing their part or assisting other teammates. Most of the time, they collaborate with other engineers or professionals and work as a team.

Typical hours

Machine learning engineers work full time and a minimum of 40 hours a week, Monday through Friday. Depending on the current project or deadline requirement, they may work longer hours up to 50 hours or so.

Available certifications

There are many certifications available to machine learning engineers who are looking to bolster their resumes. Some of these include:

  • Professional Certificate Program in Machine Learning and Artificial Intelligence by MIT. This certification is a short program for beginners entering this field. They are educated on machine learning algorithms.
  • Machine Learning with Python Certification. This course covers the basics of machine learning. It provides a general overview of machine learning topics. The course duration is eight weeks long and is free.
  • IBM Machine Learning Professional Certification. This certificate includes six courses covering the theoretical and practical aspects of machine learning.
  • Harvard University Machine Learning Certification Course. This course typically takes eight weeks or so to complete. This course builds more knowledge on algorithms, techniques, and teaches you how to build a recommendation system. 

Career path

In order to build a career as a machine learning engineer, you need to have a high school diploma or equivalent. Candidates will then need a bachelor’s degree, master’s degree, or Ph.D. in computer science, mathematics, machine learning, engineering, or a related field with a few years of experience to qualify. In order to succeed in this line of work, you have to be highly knowledgeable. Consequently, many candidates go on to get certifications applicable to machine learning engineers to enhance their knowledge. You need to have strong communication skills, problem-solving skills, time management skills, be driven, and be a team player. Machine learning engineers are needed in a variety of industries, like artificial intelligence, data science, automation, analytics, and computer programming.

US, Bureau of Labor Statistics’ job outlook

SOC Code: 15-1221

2020 Employment33,000
Projected Employment in 203040,200
Projected 2020-2030 Percentage Shift 22% increase
Projected 2020-2030 Numeric Shift7,200 increase

Machine learning engineers are projected to grow 22% from now till 2030. As the demand for technology continues to grow, so does the demand for more engineers and scientists. ML engineers are needed in a variety of industries, like artificial intelligence, data science, automation, analytics, and computer programming.

Sample interview questions

  • What does recall mean in this field of work?
  • What algorithm do you prefer to use, and why that one?
  • Can you tell us the differences between variance and bias?
  • Why do you want to work for us?
  • What makes you stand out from other candidates?
  • What skill sets do you think are the most important for a machine learning engineer?
  • What does precision mean in this line of work?
  • How can you avoid overfitting?
  • What different types of machine learning algorithms can you name?
  • In which case would you use PCA?
  • How would you explain cross-validation?
  • Can you explain linear regression?
  • Technology is always changing. How do you keep up with the latest technology?
  • How proficient would you say you are with machine learning tools? 
  • What are the different types of machine learning? 
  • What is the letter K in the algorithm?

Machine Learning Engineer Jobs in Ashburn

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