What are the Future Prospects of Jobs in Machine Learning?

What are the Future Prospects of Jobs in Machine Learning? | Artificial Intelligence and Machine Learning | Emeritus

Traffic alerts on your cell phones, facial recognition applications, or customized product recommendations while browsing websites, all commonplace occurrences, are all examples of machine learning applications. Machine learning (ML), which falls under the larger umbrella of artificial intelligence (AI), is gaining a lot of traction for its innovative potential. The added motivation to look deeper into this field is that it’s quite a lucrative career option. According to Indeed.com, in 2019, jobs in machine learning were slotted at the topmost rung in the U.S., with a 344% growth rate and an average salary of $146,085 per year.

This article looks at some of the many roles available for machine learning professionals, gives insights into the salary bracket, and ranks the top U.S. cities for machine learning jobs. Continue reading to find out.

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Jobs in Machine Learning

This field has advantages like rapid growth and the potential to create innovative new technologies. This is a predominant reason why people are inclined toward jobs in machine learning. Five popular jobs are listed below:

Machine Learning Engineer

One of the most sought-after positions in the machine learning sector is that of a machine learning engineer. You’ll probably come across a lot of roles with this precise title during your job search.

Robotics Engineer

Robots are frequently motivated by the desire to mimic human behavior or to carry out tasks as efficiently as possible. So it shouldn’t come as a surprise that robotics engineers greatly benefit from having a background in machine learning.

Natural Language Processing (NLP) Scientist

To enable computers to speak and comprehend natural language, a natural language processing scientist uses algorithms to identify the rules that make up the language. To see this in action, take a closer look at ChatGTP

Software Developer

Software developers create the core operating systems as well as cellphone and desktop apps. They use machine learning to examine data and forecast how consumers will respond to particular aspects of an application.

Data Scientist

For businesses and organizations, a data scientist examines models and interprets data to help develop workable strategies and direct business choices. Because your thoughts and recommendations are supported by concrete facts, you have the potential to be one of the most valuable team members in your organization.

ALSO READ: What is a Machine Learning Model? How is it Helpful?

machine learning fairnessEntry-Level Machine Learning Jobs

For success in this field, you need to have a grasp of several fundamental abilities such as statistics, data modeling, computer programming, machine learning programming languages, etc. If you’re looking for entry-level jobs in machine learning, these are the skills you should have: 

  • Specific understanding of data modeling ideas to create effective algorithms
  • Well-versed in  a variety of computer programming languages
  • Ability to deal with writing basic programs, scripting web pages, etc
  • A strong core ability in areas like complexity, complexity theory, computer architecture, algorithms, and data structures
  • A clear understanding of different concepts, how they can be integrated with different systems, and the pitfalls that arise along the road 
  • Strong skills in application user interfaces (APIs)

Average Salary: The salary bracket of entry-level jobs in machine learning in the U.S. ranges from $66,853 to $251,708.

ALSO READ: Deep Learning vs. Machine Learning: The Ultimate Guide for 2022

Mid-Level and Advanced Machine Learning Jobs

You need both technical and non-technical abilities if you want to work in mid-level and advanced machine learning positions. Additionally, you need the following skills:

  • Familiarity with a variety of computer programming languages, including Python, Perl, C/C++, SQL, and Java
  • Awareness of analytical techniques in order to extract useful facts from a set of ordered data
  • Ability to work with unstructured data from many sources and channels
  • A strong business sense, effective communication abilities, excellent data intuition, and other non-technical talents.

Average Salary: Typically between $107,711 and $134,786, but it can vary depending on the location and work responsibilities.

Best Locations for Jobs in Machine Learning

Finding the best locations to pursue a career in this field depends on several factors. It includes the company size, the state of the economy, and the ratio of available openings to the number of qualified professionals suitable for jobs in machine learning in the region.  The initial salary may also vary depending on your degree of experience. The greater the experience the higher the remuneration. Some of the best locations in the U.S. for jobs in machine learning include New York, California, Virginia, Massachusetts, Texas, Georgia, etc.

Highest-Paying Jobs in Machine Learning

Machine Learning Engineer

This is among the top-paying professions in the world, depending on your experience, location, and company. The typical wages for machine learning engineers vary from $76,000 to $154,000

Data Scientist

In the U.S., a data science professional may make an average yearly salary of $110,000. A data scientist gathers, examines, and interprets enormous amounts of data to provide insights that may be used to guide business choices. These specialists make use of their experience in sophisticated analytics technologies, such as machine learning and predictive modeling. 

NLP Scientist

The average machine learning salary for an NLP scientist in the U.S. is $114,000 per year. For this position, candidates must be highly proficient in the syntax, spelling, and grammar of at least one language and have machine learning knowledge.

Future of Machine Learning Jobs

Machine learning is a superior job choice for anyone who is passionate about data science, automation, and algorithms. Large-scale data movement, machine learning algorithm implementation, and process automation for optimization are some of the daily tasks involved in machine learning.

If you are serious about taking machine learning as a career, then head to Emeritus for your pick of AI and ML online courses, and get the right skills today to grab a fruitful result in your job search.

By Swet Kamal

Write to us at content@emeritus.org

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About the Author

Content Marketing Manager, Emeritus Blog
Manasa is the content ninja that every brand needs. Apart from being an expert in tech-related trends and digital marketing, she has found her calling in edtech. Her 10-year-long tryst with education started with a teaching fellowship for underprivileged children, followed by a stint as an edupreneur. It gave her the perspective she now uses to create impactful content for Emeritus. Manasa loves the life of a digital nomad that allows her to travel and hopes her reels go viral on the Gram.
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