Machine Learning Engineer Salary in 2023

Introduction

It is an application, with a remarkable ability to adapt and provide solutions even to the most complex problems in an efficient, effective as well as quickest manner.    

In the report by Indeed (Job Portal) “The Best Jobs in the US:2019”, it was stated that Machine Learning Engineer Salary has grown in a promising manner. The numbers recorded a growth of 344% and the average base Machine learning engineer salary was $146,085. 

Not just that, another report generated by a recent survey by Gartner in 2020, mentioned that there has been a rapid growth in AI which in turn has led to a sharp rise of close to 2.3 million, Machine Learning Jobs. 

According to The International Data Corporation, it is estimated that the average spending on AI as well as ML will increase from $12B to $57.6B just in 4 years which is from 2017 to 2021. And more than 60% of the top organizations insist on the importance of  Machine Learning and Artificial Intelligence in their most important data initiatives in 2018 and 2019.

If you trust the forecast of the Global Machine Learning Market, there will be a rise of $1.6 billion to almost $4 billion by 2025  owing to ML and AI. Hence, the compounded annual growth for more than eight years comes out to be close to 50%.

All these figures clearly put light on the importance of  Machine Learning Jobs and predictable Salary rise.

Who is a Machine Learning Engineer? What do they do?

Machine Learning engineers decrypt the raw data that is gathered from various data pipelines into data science models that can be applied and scaled based on the situation. Being a Machine learning engineer, you have to associate the organized data with the models that are characterized by the data scientists they work with. 

Moreover, ML engineers encourage algorithms and construct various programs that empower machines, robots, and PCs to process data successfully.

Note,  that the work of a Machine Learning Engineer is similar of a Data Scientist as the two jobs comprise working with massive volumes of data. Consequently, both Machine Learning Engineers and Data Scientists should have good command over data handling. Nevertheless, that is every one of the similarities that these two jobs share. 

Usually, multiple Machine Learning Engineers work in a joint effort with Data Scientists to separate significant insights from huge datasets and relay the data to business partners, Machine Learning Engineers guarantee that the models used by Data Scientists can put away extraordinary measures of ongoing data for manufacturing more exact results.

Why is Machine Learning Important In Today’s World?

Machine Learning and Artificial Intelligence, usually, have become an integral part of modern-day organizations. Its utilization and applications are not just confined to the tech industry and can enhance an organization’s general working, efficiency, and Dynamic interaction by digging into huge volumes of data.

Here are a few things that Machine Learning Engineer can do:

Predict data values: Supportive in acknowledging facts and logical outcomes between the variables, and regression algorithms model from values that are usually used to make an assumption. Also, relapse observation assists with measuring the future, accommodating with expected demands of products, expecting marketing and sales projections, or measuring survey outcomes.

Recognizing unusual occurrences using historical data: Machine Learning engineers help in spotting a possible threat, and irregularity discovery algorithms pinpoint information outside expected standards in an organization. The ML is utilized to address various concerns such as Hardware glitches, text mistakes, unusual number changes in sales and fraud detection, and detecting illegal transactions, especially in the payments industry.

Find data structure: Clustering algorithms are generally the initial phase in ML, and it helps in uncovering the hidden substructures in the dataset. Whereas classifying everyday things into clusters is regularly used in market and competitor analysis, offering knowledge that can help in choosing competitive prices and extracting client tendencies towards the product. It also enables endorsing a product in the same cluster or group the customer has shown interest lastly.

Predict categories: The categorization algorithm assists with deciding the right classification for data. It is highly used in the e-commerce industry, where thousands of new products are listed every day, and they must be categorized in a proper way to generate better recommendations for the organization. Manually categorizing thousands of products on a daily basis is a clumsy and error-prone job.

The Factors Affecting Machine Learning Engineer Salary

There is a wide range of variation in the numbers you will find across the internet, when you will research about the remuneration for Machine Learning Engineers. These variations are owing to various factors, some of these factors are as follows:

1. Location
2. Certification and Location
3. Employer type and scale of Organisation
4. Background research on Employer
5. Desired Skill-sets 
6. Lack of Negotiation Skills
7. Resume, Interview & Presentation skills

1. Location

The Machine Learning Engineer Salary varies based on the location of the job. Some of the economies or even states tend to pay higher salaries compared to other countries or states. At times, when location is not a constraint for you, you can also consider relocating to have a better opportunity. We have gathered some of the Machine Learning Engineer Salary from across the globe for you in the subsequent sections. It will help you have a better understanding of the role of location as a factor.

2. Certification and Training

Machine Learning Certification courses online or Machine Learning tutorials online; is something that when added to your resume adds meaning to it. You can surely go for some credible certifications from renowned institutes. For that, it is advisable to go for online courses that give you a comprehensive insight into the syllabus which needs to be covered in order to pass Machine Learning Certifications. If you wish to join one, you can either comment in the comment section below or maybe read more.

3. Employer type and scale of Organization

Companies which are industry giants could be offering lucrative packages to the Machine Learning Engineer however, there could be some establishing or upcoming start-ups as well which can pay you considerably good salary packages. All this owing to the importance of Machine Learning and Artificial Intelligence in the coming future. We have gathered a list of the top Giants and the Machine Learning Salary for such organizations to help you gauge this factor better for yourself and make fruitful decisions. Based on some of the renowned job portals across the globe, Apple, Amazon, Facebook, Google Machine Learning Salary etc. are some of the searches that are very frequent on search engines, as these are some of the top Giants giving good remunerations to their employees.  

4. Background research on Employer

This will sound more like a tip to you, however, this has a great impact on senior Machine Learning Engineer Salary. Without proper research about the organization, you might land an underpaid job and it could turn out that you end up with a substantial number of years for such organizations. Hence, it is advisable to do proper homework before you decide on joining any organization just on the basis of job profile, job location or even the salary offered.

5. Desired Skill-sets

Your skill-sets matter a lot, when it comes to the range which you see in Machine Learning Salary. Recruiters need certain additional soft skills as well as technical skills which in turn make sure that you are paid above average salary or may stay ahead in terms of professional growth, in comparison to others in the competition. We have listed certain sets of skills that might be helpful to you when you plan for career development or growth as a Machine Learning Engineer.

6. Lack of Negotiation Skills

Asking for what you deserve is what has made a huge difference in the IT industry. When it comes to negotiating for what you should be paid as a Machine Learning ENgineer owing to the respective skill set that you possess, it is what is needed. You can of course hone your skills to stay more confident however, this skill will always pay off. Nevertheless, it is advisable to understand the market trends and demands such that you do not go over the top while asking for the desired salary.

7. Resume, Interview & Presentation skills

Your first impression is surely going to last forever with you when it is all about Machine Learning Engineer Salary. An impactful resume is just like a USP for an organization, you can not afford to fail at it. Along with that you need to learn the tips and tricks to stay one step ahead in the interview process. Wish to know the secret. Read here.

What top giants are hiring for Machine Learning Engineer and how much is the machine learning engineer salary?

The top Giants to name are Apple, Amazon, J.P. Morgan Chase & Co. (JPMCC), C.H. Robinson, Accenture, Intel, LinkedIn, Spotify, Facebook, Neustar and many more. This long list that we have managed to gather for you about the Machine Learning Salary is from some of the renowned Job Portals across the globe.

The Average Salary for a Machine Learning Engineer at such top companies is estimated to be around  $137,344.  The Average Salary of Machine Learning Engineers at C. H. Robinson Worldwide, Inc. is $136,500, at Apple Computer, Inc is close to $129,149, at Accenture is around $91,000, at. Intel Corporation is $92,964, at PricewaterhouseCoopers is $103,500, at LinkedIn is $160,000, at Spotify is $145,000, at Facebook is $137,445, at Neustar is $93,113, at Diffbot is  $85,000 and many more.  

How much is the Machine Learning Engineer Salary?

The range for the machine learning engineer salary is starting from $84,000 to $163,000 based on top Job Portals across the globe. However, the average is somewhere close to $112691. For an entry-level machine learning engineer salary, you can have professionals with close to 1 to 4 years of experience in the industry, the average stays somewhere around $70-97k.   

Machine Learning Engineer Salary Based On Experience

Let us talk about the entry level machine learning engineer salary as well as senior machine learning engineer salary:

Based on the experience, 0-4 years experience is counted as an entry-level Machine Learning Engineer, and the salary ranges approximately close to $97,090; nevertheless, if we add up the other benefits or bonuses, it rises to $130,000 or even more. 

The next category is of the professionals ranging from 5 to 9 years or called Mid-level machine learning engineers. How much is the senior machine learning engineer salary?

The average annual salary for them could be somewhere close to $ 112, 095. Additionally, the bonuses and profit sharings together make it close to $ 160, 000 or even more. 

Coming to the senior machine learning engineer salary, professionals with more than a decade of experience come under this category. The average annual Salary here is close to $ 132, 500. Adding fierce bonuses as well as the profit-sharing into this average, this can go close to $ 181, 000 annually. 

Machine Learning Engineer Salary Based On Location

Location is one of the major factors playing a pivotal role in the Machine Learning Engineer Salary. Across the globe, one can see a huge variation in the Salaries based on the location, as there are hundreds of factors which play a role in deciding the living standard, salary or even demand of a particular skill set at a location. 

Let us talk about some of the major locations across the world which are the top favorites of most people. The Salary of a Machine Learning Engineer in the USA is close to $146, 085 and there has been a rise in the job opening in this skillset close to 344%.

The average salary of a Machine Learning Engineer in the UK is around £35,000 in the initial days of their career. The average could even go to £52,000 owing to increased experience in the job. Also in case one gets placed at Top Giants such as Google or Facebook, one can expect a rise in the salary up to £170,000.  

According to PayScale, the average annual salary for a Machine Learning Engineer in India is close to ₹682843. Additionally, according to Glassdoor, the average annual salary for a Machine Learning Engineer is $87,736 in Canada. 

According to PayScale, the average Machine Learning Engineer Salary in Australia ranges somewhere between AU$61k - AU$129k. When you add the Bonuses or other additional benefits then it comes to AU$3k and AU$29k or might even range between AU$59k - AU$132k.

Pro Tip -  Follow Machine Learning Career Path to get your Dream job!

Job Status based on Top Job Portals

Knowing about Salary Machine Learning Engineer is important for you only when you wish to know more about the jobs which are available in real-time. And in order to give you the right insight, let us quickly have a look at the real-time numbers in terms of available jobs in Machine Learning.

We have gathered information from some of the top Job Portals from the USA, India, UK, Australia, Canada, etc.

More than 14000 jobs are available in the USA according to Careerbuilder. 

Close to 1000 jobs are available in Australia for Machine Learning Engineer according to Indeed. 

More than 4000 jobs are available in UK for Machine Learning Engineer according to Monster.com

Machine Learning Engineer Salary Based On Industry

The Salaries for Machine Learning engineers can also vary depending on the industry in which they are working. Some of the top Industry where you can find huge requirement for Machine Learning Engineers are:

1. Software and IT Services
2. Finance
3. Hardware and Networking

There are several other industries as well where Machine Learning is required and it is important to make sure that it might have some impact in the variation which we might see in the range of salary of Machine Learning Engineer. 

Popular Skills recruiters look for Machine Learning Jobs

The top skill set which can help you grow professionally or negotiate for a good Machine Learning Engineer Salary are-

• C++ Programming Language
• Big Data Analytics
• Computer Vision
• Data Analysis
• Deep Learning
• Image Processing
• Natural Language Processing
• Python
• Software Development

If you feel some other skill sets have helped you or someone you grow professionally in ML, do not hesitate to write them below in the comment section.

Salaries on Jobs related to Machine Learning Engineer

The above-mentioned image showcases the salary of a Machine Learning Engineer based on the various job roles like Software engineer, Data analyst, Data Scientist, Senior Software Engineer, Senior Data Analyst, and many more.

Machine learning engineer salary also depends on your respective experience, location, knowledge, and degree.

Final Words on Machine Learning Engineer Salary

In the next 5 years, 53% of US companies will adopt AI and Machine Learning technology to transform their business. This suggests that they’re looking to hire more experts to integrate these technologies into their business initiatives. 

One can make the decision to choose Machine Learning as a career path and accordingly choose to go with the course or training online to get an authentic Certification for the same. If you wish to start with a Machine Learning Training or get Machine Learning Training online, then feel free to contact us. We will help you with everything regarding the same. You can also connect with us to get more advice on courses, certifications, etc. in the comment section below.   

Are you working in the same skill set already? If yes, do not forget to share your experience with us in the comment section below. You can also let us know in case you need some career development advice to grow in your career as a Machine Learning Engineer.

FAQs

Q1: What is the salary of a machine learning engineer?

The Salary of a Machine Learning Engineer might vary depending on various factors and hence there can be no fixed number when it comes to their Salary. You are advised to consider the factors to come down to any conclusion. Also it is evident that the need for Machine Learning is ever increasing and so is the market for jobs with this skill set. 

Q2: What does a machine learning engineer do?

Machine learning engineers help in feeding the important data into the models which are defined by the data scientists. Machine learning engineers also make sure that the theoretical data science models are helpful in real-time. 

Q3: How much is an Apple Machine Learning Engineer Salary?

The Apple Machine Learning Engineer Salary might depend on various factors and the range might vary based on location, years of experience, additional knowledge on skill sets etc. Your negotiation skills and previous work experience, if any, are other factors which decide the Apple Machine Learning Engineer Salary. One thing you can keep in mind is the fact that Giants like Apple, generally have a well-defined Salary structure and they pay their employees decently. 

Q4: How much is Google Machine Learning Engineer Salary?

The Google Machine Learning Engineer Salary might depend on various factors and the range might vary based on location, years of experience, additional knowledge on skill sets etc. Your negotiation skills and previous work experience, if any, are other factors that decide the Google Machine Learning Engineer Salary. One thing you can keep in mind is the fact that Giants like Google, generally have a well-defined Salary structure and they pay their employees decently. 

Q5: How much is Facebook Machine Learning Engineer Salary?

The Facebook Machine Learning Engineer Salary might depend on various factors and the range might vary based on location, years of experience, additional knowledge on skill sets etc. Your negotiation skills and previous work experience, if any, are other factors that decide the Facebook Machine Learning Engineer Salary. One thing you can keep in mind is the fact that Giants like Facebook, generally have a well-defined Salary structure and they pay their employees decently. 

Q6: How much is an Amazon Machine Learning Engineer Salary?

The Amazon Machine Learning Engineer Salary might depend on various factors and the range might vary based on location, years of experience, additional knowledge on skill sets etc. Your negotiation skills and previous work experience, if any, are other factors that decide the Amazon Machine Learning Engineer Salary. One thing you can keep in mind is the fact that Giants like Amazon, generally have a well-defined Salary structure and they pay their employees decently. 

Q7: Do Machine learning engineers get paid more?

On average, Machine Learning Engineers are paid higher salaries compared to regular software engineers. Based on the research, we have come to the conclusion that Machine Learning Professionals may get higher compensation than other IT Professionals.

Q8: Is machine learning engineering a good career?

Yes, machine learning is a great career path to choose, automation, and algorithms as your day will be filled with analyzing huge amounts of data and implementing and automating it. If pay is necessary for you, then you are on the right career path.

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