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Posts tagged ‘Machine Learning Engineer’

Machine Learning Engineer Is The Best Job In The U.S. According To Indeed

  • Machine Learning Engineer job openings grew 344% between 2015 to 2018, and have an average base salary of $146,085.
  • At $158,303, Computer Vision Engineers earn among the highest salaries in tech
  • The average base salary of the 25 best jobs in the U.S. according to Indeed is $104,825, and the median base salary is $99,007.
  • Agile Coach is the highest paying job with an average base salary of $161,377.
  • 9 of the top 25 jobs in the U.S. this year are in tech fields according to Indeed.
  • Five jobs are heavily dependent on applicants’ Artificial Intelligence (AI) skills and expertise.

These and many other insights are from this Indeed’s The Best Jobs in the U.S.: 2019 study released this week. Indeed defined the best jobs as those experiencing the fastest growth measured by the increase in job postings between 2015 and 2018, in conjunction with those offering the highest pay using a baseline salary of $75,000. Indeed’s best jobs of 2019’s data set is available here in Microsoft Excel.

Key insights from Indeed’s ranking of the best jobs of 2019 include the following:

  • At $158,303, Computer Vision Engineers earn among the highest salaries in tech according to Indeed, followed Machine Learning Engineers with a base salary of $146,085. The average base pay of the nine tech-related jobs that made Indeed’s list is $122,761, above the median salary of $99,007 for the entire group of the top 25 jobs. Indeed’s top 25 jobs for 2019 are illustrated below in descending salary order with the median salary providing a benchmark across the group. Please click on the graphic to expand for easier reading.

  • Three of the top 10 fastest growing jobs as measured by percentage growth in the number of job postings are in tech. From 2015 to 2018, job postings for Machine Learning Engineers grew 344%, followed by Full-stack developers (206%) and Salesforce developers (129%). In aggregate, all nine technology-related job postings increased by 146% between 2015 and 2018. The graphic below illustrates the percentage of growth in the number of postings between 2015 and 2018. Please click on the graphic to expand for easier reading.

  • Comparing average base salary to percentage growth in job postings underscores the exceptionally high demand for Machine Learning Engineers in 2019. Technical professionals with machine learning expertise today are in an excellent position to bargain for the average base salary of at least $146,085 or more. Full-stack developers and Salesforce developers are in such high demand, technical professionals with skills on these areas combined with experience can command a higher salary than the average base salary. The following graphic compares the average base salary to percentage growth in job postings for the years 2015 – 2018. Please click on the graphic to expand for easier reading.

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Data Science And Machine Learning Jobs Most In-Demand on LinkedIn

  • Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn.
  • Data scientist roles have grown over 650% since 2012, but currently, 35,000 people in the US have data science skills, while hundreds of companies are hiring for those roles.
  • There are currently 1,829 open Machine Learning Engineering positions on LinkedIn.
  • Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5M jobs by 2026, according to the U.S. Bureau of Labor Statistics.

These and many other insights are from the recently released LinkedIn 2017 U.S. Emerging Jobs Report. LinkedIn has provided an overview of the methodology in their post, The Fastest-Growing Jobs in the U.S. Based on LinkedIn Data. “Emerging jobs” refers to the job titles that saw the largest growth in frequency over that five year period. LinkedIn reports that based on their analysis, the job market in the U.S. is brimming right now with fresh and exciting opportunities for professionals in a range of emerging roles.

Key takeaways from the study include the following:

  • There are 9.8 times more Machine Learning Engineers working today than five years ago based on LinkedIn’s research, with 1,829 open positions listed on the site today. There are 6.5 times more Data Scientists than five years ago, and 5.5 times more Big Data Developers. The following graphic illustrates the rapid growth of key data scient, machine leanring, big data and full stack developers in addition to sales development and customer success managers.

  • Software engineering is a common starting point for professionals who are in the top five fasting growing jobs today. The career path to Machine Learning Engineer and Big Data Developer begins with a solid software engineering background. The top five highest growth job typical career paths are shown below:

  • The skills most strongly represented across the 20 fastest growing jobs include management, sales, communication, and marketing. Additional skills represented across the highest growing jobs include marketing expertise (analytics and marketing automation), start-ups, Python, software development, analytics, cloud computing and knowledge of retail systems.
  • LinkedIn interviewed 1,200 hiring managers to determine which soft skills are most in-demand and adaptability came out on top. Additional soft skills include culture fit, collaboration, leadership, growth potential, and prioritization.

Sources:

LinkedIn Blog: The Fastest-Growing Jobs in the U.S. Based on LinkedIn Data

LinkedIn’s 2017 U.S. Emerging Jobs Report

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