Here we are discussing Machine Learning Engineer Salary in the US.
Demand for artificial intelligence and machine learning experts is on the rise globally despite a fear that AI will eat away at many jobs. Machine learning engineers are in huge demand to meet the supply in the global tech market. The USA is one of the top countries for machine learning engineers for its large number of companies that specialize in machine learning, artificial intelligence, robotics, and other advanced technologies. It is reported that the ML Engineer is the fourth-fastest growing job in this machine learning-based country.
Recruiters in the US are seeking tech and engineering talents with deep learning, machine learning, AI, neural networks, computer vision and reinforcement skills. The country is estimated to have 2,50,000 open data science jobs by 2024.
According to Glassdoor and Pysa, the top recruiters in the US are Amazon, Google, Microsoft, NVIDIA, Facebook, Intel, Rocket Fuel, General Electric, Cylance, Oculus VR, Booz Allen Hamilton, Huawei, Adobe, Accenture, iRobot, Magic Leap, Rethink Robotics, BAE Systems, HERE, IBM, Samsung, Lenovo, MoTek Technologies, Uber, PCO innovation, Rakuten Marketing, and Wells Fargo. The average salary for ML engineers in 2022 is US$145,000 (up to 1 Cr) per annum with additional cash compensation.
Like most fields, the machine learning engineer salary for different roles will vary based on the job level and the experience you bring to the table. Potential employers will look at a combination of your skills and experience, along with what your specific role requires when determining your machine learning engineer salary. Keep on reading this article to know more about Machine Learning Engineer Salary in US.
Why Machine Learning Matters?
Extracting better quality information
Increasing productivity and speed in processes
Reducing costs
Extracting more value from data
Machine Learning Engineer: Job Outlook
In 2019, Indeed listed machine learning engineer as its #1 job of the year, based on the growth in the number of postings for jobs related to the machine learning and artificial intelligence field over the previous three years.
Machine Learning Engineer Salary in the USA: General Breakdown
To give you a general idea of what to expect depending on job level, here’s the breakdown:
Entry-level machine learning engineer (0-4 years of experience) earn an average salary of $92,754 (75lakhs-80lakhs)
Mid-level machine learning engineer (5-9 years of experience) command an average salary of $112,793 (90lakhs-95lakhs)
Senior machine learning engineer (with 10+ years of experience) have an average salary of $155,361 (upto 1 Cr)
Important Note: Machine Learning Engineers also get health insurance, a gym membership, life insurance, profit sharing, paid time off, parental leave, and even opportunities for growth.
Machine Engineer salary for some major U.S. cities:
When it comes to your machine learning engineer salary, location will likely be a factor. Given below is the average machine engineer salary for some major U.S. cities:
New York: $166,093 (1.35 Cr)
Chicago: $144,829 (1.20 Cr)
Los Angeles : $143,024 (1.20 Cr)
Phoenix $153,873 (1.25 Cr)
Roles and Responsibilities of Machine Learning Engineer
To research, modify, and apply data science and data analytics prototypes.
To create and construct methods and plans for machine learning.
Employing test findings to do statistical analysis and improve models.
To search the internet for training datasets that are readily available.
To create machine learning applications in accordance with client or customer needs.
To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood.
To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations.
Skills Required to Become Machine Learning Engineer
A person who wants to work as a machine learning engineer needs to possess the following skills:
Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics.
Advanced degree in math, computer science, statistics, or a related field.
A master’s degree in artificial intelligence, deep learning, or a related discipline.
Strong teamwork, problem-solving, and analytical skills.
Abilities in software engineering.
Knowledge of data science.
Languages for coding and programming, such as Python, Java, C++, C, R, and JavaScript.
Practical understanding of ML frameworks.
Practical familiarity with ML libraries and packages.
Recognize software architecture, data modeling, and data structures.
Understanding of computer architecture.
Machine Learning Engineers Employment: Facts
82% of companies need employees with machine learning skills.
73% of business leaders believe machine learning will double productivity for their employees.
Global employment of machine learning engineers is projected to grow at a rate of 22% between 2020 and 2030.
61% of marketers say machine learning and AI are the number one priority in their data strategies.
Which Companies Pay the Highest to Machine Learning Engineers in the US?
Google, Amazon, Apple, and Facebook all have reputations for offering some of the best machine learning jobs in the industry.
According to Indeed, eBay is leading the pack with their machine learning engineer salaries, with an awesome salary of over $335,000 a year. (2 Cr)
Wish, Snap, Tapjoy, and ABF Freight currently round out the top five, all offering a machine learning salary of up to $ 200,000 plus a year. (up to 1.63 Cr)
Conclusion
As businesses speed up their adoption of machine learning systems and as job listings in the field continue to rise, be assured that there are plenty of opportunities no matter which career path you choose. So whether you’re looking to build a career in machine learning or planning to upskill yourself in machine learning skills, getting certified will set you apart from other job-seekers.
So, For those looking for a role with a healthy machine learning salary, having solid skills coupled with practical experience you can draw on to showcase your talent during interviews is key.
So, In this article, we have tried to cover everything related to the Machine Learning Salary in the USA. We hope you like this article!
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