Machine learning engineers are tasked with algorithms, data, and artificial intelligence. Find out about salary potential, job prospects, and how to become an engineer in machine learning.
Machine learning is an intriguing segment of artificial intelligence that involves anticipating and adapting results as it gathers more information. The top job of 2019 was named Machine learning engineer and experienced a growth of 344 percent in job postings between 2015 and 2018. We can predict that this has been steadily increasing since 2018, as machine learning has been incorporated into all kinds of industries.
Machine learning is part of the field of computer science that is specifically focused on artificial intelligence. It makes use of algorithms to analyze data in a way that is similar to how humans learn. The aim is to increase its accuracy in learning and then provide information from that learning to the user .
Machine learning encompasses everything from surveillance via video to facial recognition using your phone. Businesses that serve customers make use of it to analyze consumer patterns and preferences and develop direct marketing advertising campaigns.
Social media platforms such as Facebook make use of machine learning to tailor ads to users based on their interests, preferences, and other posts on the site. Like shopping sites, Amazon makes use of algorithms to suggest products to purchase based upon a buyer’s past purchases and browsing past history .
Machine learning engineers are essential components in their team of data scientists. Their responsibilities include:
- Conducting research.
- Creating and creating the artificial intelligence that is responsible for machine learning.
- Keeping and enhancing existing artificial intelligence systems.
In many cases, a machine-learning engineer also serves as a virtual communication channel between team members of the data science team and directly interacts with data scientists who create the models used to build AI systems and the engineers who design and operate these systems.
Although the responsibilities of machine learning engineers may differ and comprise:
- Applying algorithms for machine learning
- Testing and running AI Systems experiments and tests
- The machine learning systems design and development
- Making statistical analysis
In the last few decades, computer science has grown steadily. Computer science and information research jobs are expected to grow 22 percent by 2030.
According to Indeed listed machine learning engineer as the top job for the year because of the rise in vacancies for jobs related to computer-aided learning (ML) and artificial intelligence in the past three years 44. Because of the changes that have occurred in our society due to the COVID-19 pandemic and the increasing need for automation of everyday tasks is rising.
Like many high-level techs or computing science jobs, computer science engineers can earn significantly higher wages than the national average, usually more than six figures. In fact, as of June 20, 2022, the average base salary for a machine-learning engineer is $120,549, as per Indeed.
It is possible to climb the ladder to becoming a machine-learning engineer. You’ll have to complete three fundamental steps to become an engineer with machine learning.
- Get a bachelor’s degree in computer science in a related field.
Since machine learning is a part of the computing sciences field, solid knowledge of data science, computer programming, and math are crucial to success. Most engineering positions in machine learning require at least a Bachelor’s degree; therefore, beginning with a Machine Learning Training course or studies in computer science or a closely related field like statistics is a great beginning.
- Gain entry-level work experience
If you’ve earned a computer science degree, the following step would be to begin working in the field of data science to learn more about artificial intelligence or machine learning. The most common entry-level positions that eventually lead to a machine-learning career include:
- Engineering computer
- Scientist in data
- Software Developer
- Engineer in software
- Get an advanced degree
Although it is possible to get a job in the field of data sciences and AI without a Bachelor’s degree, pursuing a master’s and Ph.D. in data science, computer science, or software engineering could aid in learning the more intricate tasks by machine learning engineers. This will also benefit you when you apply for jobs, particularly if you’ve enhanced your academics with numerous apprenticeships or internships.