To many people, AI is not sci-fiction, it’s real, a part of who they are and the core of what they do for a living.
I’m talking about Machine Learning Engineers and their likes that are making a living developing and working on interesting and some time, hectic AI projects.
Turns out, some of them are not just making a living as a result of their AI jobs, they are making a fortune off it.
Like you know, artificial intelligence and machine learning is a big deal in the tech world. Tech companies are trying without stop to leverage artificial intelligence and machine learning as much as they can to return huge profits for their companies.
But there is one little problem.
As Cade Metz wrote on the New York Times, “AI talents are scarce”.
And this is one of the many reasons why tech companies are willing to pay huge salaries to AI talents.
This totally makes sense, because even though I didn’t take to many business classes in school, I took one where I learned that the law of supply and demand states that a low supply and high demand for a service will typically increase its cost.
AI jobs are mouthwatering lucrative.
Do you want in?
Of course you do and that’s one of the reasons why you want to find out the highest paying artificial intelligence jobs.
In that case relax, I did some digging for you; I got you.
Here are the highest paying artificial intelligence jobs:
6. Computer Vision Engineers
Computer vision is an interesting sub-field of artificial intelligence that relates to computers’ ability to “see” and in many ways, make sense of images (whether still or moving images). This is the technology that powers object recognition systems.
A Computer Vision Engineers are tasked with applying computer vision (deep learning) algorithms to solving real world problems that revolves around image recognition and processing.
They are more valuable in and sought after by companies building/developing systems that relies on image recognition and processing like tech companies working on autonomous vehicles, AI medical imaging systems, and smart shopping systems.
Key standout strengths of Computer Vision Engineers are their experience in building/developing image recognition/processing systems.
Computer Vision Engineer Salary
The average of a Computer Vision (Research) Engineer is $130,810 per annum (yearly). However, it may be higher or lower depending on the organization and area.
Typical Requirements for Computer Vision Engineer Job
In the market, Computer Vision Engineers are specialist, whose knowledge of deep learning is deeply rooted in developing computer vision systems.
As such there is a high standard for entry into this role; and it’s no surprise.
And there are many Computer Vision Engineers who work as researchers (Computer Vision Research Engineers).
Nonetheless, here are the typical requirements for a Computer Vision Engineer job:
- Master degree or PhD in computer science or related fields
- Proven track record of building deep learning models
- Experience with deep learning frameworks, especially TensorFlow
- Fluency in software development languages like C, C++ or Java
Having a post-graduate degree is commonly required for the role of a Computer Vision Engineer today. However, if you have outstanding experience working on computer vision projects without a post-graduate degree (or a degree at all), you could land a job as a Computer Vision Engineer.
5. Algorithm Engineer
Algorithm Engineers are not your normal entry-level Software Engineers. They are bigger guns. Their work focuses on designing, analyzing, implementing and optimizing algorithms.
When working as researchers their role revolves around designing algorithms to accomplish or better a process. Otherwise, they are mostly required to optimize existing algorithms.
Algorithm Engineers are needed in a broader market, they can work to complete different kind of projects.
Basically, an Algorithm Engineer is a Software Engineer with advanced experience and often degree.
Algorithm Engineer Salary
The average of an Algorithm Engineer is $135,109 per annum (yearly). However, it may be higher or lower depending on the organization and area.
Typical Requirements for Algorithm Engineer Job
Typical requirements for the role of an Algorithm Engineer are:
- Masters or PhD in Computer Science/Electrical Engineering or related fields
- Fluency in C/C++ or Java programming
- Multiple years of experience building computer algorithms
- Well-founded theoretical knowledge of algorithm engineering
4. Machine Learning (Research) Scientist
Machine learning is a sub-field of artificial intelligence that is concerned with giving computers learning abilities. It is a field that is leading recent development in artificial intelligence.
A Machine Learning (Research) Scientist is a person with fundamental theoretical knowledge of machine learning, who uses the said knowledge to develop problem-solving machine learning algorithms. And is usually tasked with researching new approaches and sometimes, completely new algorithms.
The role of a Machine Learning (Research) Scientist is more academic in nature (reports and whitepapers kind of jobs) rather than practically executional.
They are usually sought after by Artificial Intelligence Research Labs (or related research labs).
Machine Learning (Research) Scientist Salary
The average of a Machine Learning (Research) Scientist is $137,449 per annum (yearly). However, it may be higher or lower depending on the organization and area.
Typical Requirements for Machine Learning (Research) Scientist Job
- Masters or PhD in Computer science or related fields
- 3+ years of experience building machine learning algorithms that solve complex problems
- Proficiency in a statistical modelling framework like R, Python, Matlab or Scala (the more the better)
- Deep understanding of statistics and statistical methods
- Proficiency in software development language like C, C++ or Java
3. Data Warehouse Architect
A data warehouse is a system built for data reporting and analysis; it is the core of Business Intelligence (BI) systems. It processes usually revolves around collecting and managing data to provide meaningful and actionable business insights.
A Data Warehouse Architect is therefore responsible for designing data warehouses in other to provide the business or organization they work for useful and actionable insights.
They are also responsible for maintaining secure and accessible systems for storing raw data, metadata and other data assets.
Data Warehouse Architect Salary
The average of a Data Warehouse Architect is $139,021 per annum (yearly). However, it may be higher or lower depending on the organization and area.
Typical Requirements for Data Warehouse Architect Job
The role of a Data Warehouse Architect is complex and demanding, it often requires years of experience with data warehousing, business intelligence and large/complex database management systems.
Other requirements are:
- Bachelor degree in Data Science, Computer Science or related fields
- Excellent dimensional and relational data modelling and database design skills
- Fluency in statistical modelling frameworks like R, Python, Matlab or Scala
2. Machine Learning Engineer
Machine Learning Engineers are in high demand almost everywhere in the tech industry. They are responsible for building machine learning algorithms for solving real world problems.
Machine Learning Engineers are usually charged with creating computer programs that performs defined tasks without being explicitly programmed to do so.
While Machine Learning Research Scientist focuses majorly the on theoretical aspect of machine learning (like researching new approaches and algorithms), Machine Learning Engineers focuses on applying those approaches and algorithms to solving real world problems practically.
Machine Learning Engineer Salary
The average of a Machine Learning Engineer is $139,300 per annum (yearly). However, it may be higher or lower depending on the organization and area.
Typical Requirements for Machine Learning Engineer Job
Machine learning engineering is an interesting field, one that pays really well as you know. However, its not a job for every Dick and Harry.
Here are the typical requirements for a Machine Learning Engineer job:
- Bachelor degree in Computer Science or related field
- Proficiency in software development languages such as C, C++ and Java
- Experience carrying out successful machine learning projects
- Fluency in statistical modelling frameworks such as R, Python, Scala or Matlab
1. Deep Learning Engineer
Deep Learning Engineers are highly valuable, as they are specialist in an advanced area of artificial intelligence: Deep Learning. They specialize in using deep learning algorithms/models to solving real world problems.
When working in Research Labs, they typically take on the title “Deep Learning Research Engineer”. In that case, their jobs revolves around researching new deep learning approaches and often new deep learning algorithms.
Deep learning is a sub-field of machine learning, one that focuses on building AI learning systems using human-like neural networks (known as Artificial Intelligence Networks).
It is the field of machine learning/artificial intelligence that is spearheading cutting edge development in artificial intelligence today.
It is at the core of advanced AI technologies such as self-driving technology, AI virtual assistants (like Alexa) and computer vision technologies.
Deep Learning Engineer Salary
The average of a Deep Learning Engineer is $180,229 per annum (yearly). And by a large margin, it’s the highest paying artificial intelligence job. However, it may be higher or lower depending on the organization and area.
Typical Requirements for Deep Learning Engineer Job
- Master degree or PhD in Computer science or related field
- Excellent understanding of machine learning theories, concepts and applications
- Experience with deep learning algorithm development
- Strong programming skills in statistical modelling frameworks like R, Python, Matlab and Scale; and software development languages like C, C++ and Java
The above are the highest paying jobs in the artificial intelligence industry and arguably the most interesting and satisfying.
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I’m a Technology Stock Analyst, with focus on companies developing cutting-edge techs. Keeping track of cutting-edge techs, companies and stocks is what I do almost everyday. And I love it. Whether it’s artificial intelligence, 5g, or autonomous vehicles; I’m all in.