Artificial Intelligence (A.I.) Jobs
What is artificial intelligence?
Artificial intelligence (AI) is a type of computer science that focuses on designing machines capable of performing tasks generally associated with human intelligence, such as adaptive learning and making informed responses and decisions. AI research helps improve processes in many industries, including:
- Health care
- Retail
- Ecommerce
- Finance
- Security
- Transportation
- Manufacturing
For example, in health care, scientists may study how they can create smart machines to diagnose conditions. AI research is an expanding field, and its broad application across many industries contributes to projections of strong growth in the field in the years ahead. These can include cars, machines, robots and software systems.
definition from Investopedia:
“AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning or problem-solving.”
Examples of artificial intelligence include:
- Smart assistants like Siri and Alexa
- Pandora and Netflix, which provide personalized song and entertainment recommendations
- Chatbots
- Robotic vacuum cleaners
- Self-driving vehicles
- Facial recognition software
IN THIS ARTICLE
14 Career Paths in Artificial Intelligence
AI Careers Frequently Asked Questions (FAQs)
10 Awesome & High-Paying AI Careers
18 Artificial Intelligence (AI) Jobs and Career Outlook
10 most in-demand A.I. Jobs
“AI covers a vast range of use cases, from controlling the characters in your favorite video game to powering self-driving cars, and everything in between,” Scott Bonneau, vice president of global talent attraction for employment site Indeed, tells CNBC Make It in regards to why these positions are in high demand. He says that as the need for technology and its problem-solving abilities continues to grow, “more [companies] have recognized they can, and need, to use AI and machine learning algorithms to create smarter, more personalized and intuitive products.”
Below are the 10 most in-demand AI jobs today, along with their median yearly salary, as reported by Indeed.
1. Data scientist
Median yearly salary in the U.S.: $110,000
2. Senior software engineer
Median yearly salary in the U.S.: $120,000
3. Machine learning engineer
Median yearly salary in the U.S.: $125,000
4. Data engineer
Median yearly salary in the U.S.: $122,060
5. Software engineer
Median yearly salary in the U.S.: $100,000
6. Software developer
Median yearly salary in the U.S.: $95,000
7. Software architect
Median yearly salary in the U.S.: $135,107
8. Senior data scientist
Median yearly salary in the U.S.: $127,500
9. Full stack developer
Median yearly salary in the U.S.: $108,730
10. Principal software engineer
Median yearly salary in the U.S.: $155,000
CNBC 10-of-the-most-in-demand-ai-jobs
14 Career Paths in Artificial Intelligence
The list below includes jobs in AI but also some positions that work closely with those in AI roles.
Career Path |
Description |
Median Annual Salary |
Big Data Analyst |
Find meaningful patterns in data by looking at the past to help make predictions about the future. |
|
User Experience (UX) Designer/Developer |
Work with products to help customers understand their function and can use them easily. Understand how people use equipment and how computer scientists can apply that understanding to produce more advanced software. |
|
Natural Language Processing Engineer |
Explore the connection between human language and computational systems; this includes working on projects like chatbots and virtual assistants. |
|
Researcher |
Work with computer science and AI research Discover ways to advance AI technology |
|
Research Scientist |
Expert in applied math, machine learning, deep learning, and computational stats. Expected to have an advanced degree in computer science or an advanced degree in a related field supported by experience. |
|
Software Engineer |
Develop programs in which AI tools function. The role may also be referred to as a Programmer or Artificial Intelligence Developer. |
|
AI Engineer |
Build AI models from scratch and help product managers and stakeholders understand results. |
|
Data Mining and Analysis |
Finding anomalies, patterns, etc. within large data sets to predict outcomes. |
|
Machine Learning Engineer |
Using data to design, build and manage ML software applications. |
|
Data Scientist |
Collect, analyze and interpret data sets. |
|
Business Intelligence (BI) Developer |
Analyze complex data sets to identify business and market trends |
|
Big Data Engineer/Architect |
Develop systems that allow businesses to communicate and collect data |
|
Robotics Engineer |
Design, build and test robots or robotic systems. |
|
Computer Vision Engineer |
Develop and work on projects and systems involving visual data. |
sandiego.edu/artificial-intelligence-jobs
AI Careers Frequently Asked Questions (FAQs)
Is Artificial Intelligence a Good Career?
Yes, because:
- AI jobs are plenty, hiring growing by 32% in the last couple of years
- There is a high talent gap—not enough qualified applicants for vacant positions
- AI professionals earn top salaries, well north of $100,000
- As a rapidly evolving industry, growth opportunities in AI careers are diverse
- AI careers are flexible—you could be a freelancer, consultant, researcher, practitioner, or even build your own AI products
What is the job outlook for the AI field?
A career in AI technologies may be rewarding for individuals who enjoy mathematics, technology and problem-solving. As more companies adopt AI technology, the job opportunities in the field may continue to increase. The U.S. Bureau of Labor and Statistics predicts that the employment of computer and information research scientists may grow by 21% between 2021 to 2031
Which is the best career in AI?
The best career in AI for you may depend on your interests and educational background. For example, if you enjoy organizing data and collaborating with other programmers to create reports and improve systems, you may enjoy working as a data analyst. If you prefer using a combination of business knowledge and AI software expertise, you might excel in a role as a business intelligence developer.
To determine the best possible career to meet your needs, it can be useful to research different opportunities carefully. Pay attention to the duties, average salary, typical work-life balance and advancement opportunities for each, then compare what you find with your own personal career goals.
What skills can you develop in this field?
The skills required for AI jobs typically include a foundation in computer science, mathematics, statistics and programming languages. Other important skills include knowledge of machine learning algorithms, data analysis, data visualization and experience with deep learning frameworks.
Do you need a degree for AI jobs?
While a degree in computer science, data science or a related field can be beneficial in obtaining an AI job, it's not always necessary. Employers may also consider candidates with relevant work experience, certifications and strong technical skills.
Most job descriptions online will expect at least a bachelor’s degree. However, as we mentioned, the talent gap is growing. Organizations can no longer reject employees without a college degree if they have demonstrable skills and experience in artificial intelligence.
Can You Get Into AI With No Experience?
As a practical field, the defining factor of an AI professional is their ability to execute projects. This can only come from experience. So, you need to have hands-on experience to land a job in AI, even if not exactly corporate work experience. For instance, Springboard’s Data Science Career Track includes 14 real-world projects to get you comfortable with applying AI to business challenges.
What Skills Do You Need To Land an Entry-Level AI Position?
Not all AI positions are the same. As you see from the list above, different roles might need different skills/experiences. However, nearly all entry-level roles will expect:
- Graduate degree in computer science, mathematics, or statistics
- Familiarity with Python and SQL
- Knowledge of data analysis, processing, and visualization
- Understanding of cloud technologies
- Business acumen about the industry, market, competition, etc.
How To Work in Artificial Intelligence?
A career in AI is unlike most technology jobs that are available today. As an evolving field, AI jobs demand professionals to stay informed of advancements and update themselves regularly. It is no longer enough to just gain skills, AI/ML professionals need to track the latest research and understand new algorithms on a regular basis.
Moreover, AI is coming under immense social and regulatory scrutiny. AI professionals need to look beyond just the technical aspects of AI and pay attention to its social, cultural, political, and economic impact.
Sakshi Gupta Springboard.com careers-in-AI
What Does an AI Professional Do?
The good news is that the AI professional field is full of different career opportunities, which means you can take on different roles and responsibilities depending upon the position, your experience and your interests.
The need for skilled AI professionals spans nearly every industry, including:
- Financial services
- Healthcare
- Technology
- Media
- Marketing
- Government and military
- National security
- IoT-enabled systems
- Agriculture
- Gaming
- Retail
Professional AI Skills in Demand for 2023
First, competencies with calculus and linear algebra are extremely important. Also, if you’re interested in AI, you should have some knowledge and experience in at least one of the following programming languages:
- Python
- C/C++
- MATLAB
According to ZipRecruiter, these are the top 5 skills required for AI jobs:
- Communication skills
- Knowledge and experience with Python specifically (in general, proficiency in programming language)
- Digital marketing goals and strategies
- Collaborating effectively with others
- Analytical skills
The Intellipaat blog also recommends these additional skills for AI professionals:
- Solid knowledge of applied mathematics and algorithms
- Problem-solving skills
- Industry knowledge
- Management and leadership skills
- Machine learning
How to Start a Career in Artificial Intelligence
If you aren’t already in the industry, the first step is to conduct research, which includes talking to current AI professionals and researching reputable colleges and programs. According to Springboard, hiring managers will probably require you to hold at least a bachelor’s degree in math and basic computer technology (but in many cases, a bachelor’s degree will only qualify you for entry-level positions).
Undergraduate degrees in computer science or engineering are a good starting point, but a master’s degree in artificial intelligence can provide firsthand experience and knowledge from industry experts that can help you secure a position and set you apart from other candidates.
Dan Ayoub, general manager for mixed reality education at Microsoft, explained in a Best Colleges article that AI is still a relatively emerging area, colleges and universities still “differ in how specialized a degree you may be able to get.” He noted that computer science and familiarity with data science, machine learning, and Java are good places to begin, but that degree programs may offer specialized training. “There are a number of new undergraduate and graduate programs popping up every day that are designed to prepare someone specifically to work in AI.”
Those interested in pursuing a master’s in artificial intelligence should have a strong foundation of knowledge and experience consisting of a combination of math, science, computer and data proficiency.
Artificial Intelligence Job Outlook
The current AI job outlook is quite promising. The US Bureau of Labor Statistics expects computer science and information technology employment to grow 11% from 2019 to 2029. This will add about 531,200 new jobs in the industry. This, it appears, is a conservative estimate. ‘AI and Machine Learning Specialists’ is the second on the list of jobs with increasing demand as per the World Economic Forum.
As the industry matures, jobs in AI will not only grow in number but also complexity and diversity. This will open doors for various professionals—junior, senior, researchers, statisticians, practitioners, experimental scientists, etc. The outlook for ethical AI is also looking up.
The job outlook for AI professionals is extremely promising, with ZipRecruiter predicting the industry to “grow explosively as it becomes capable of accomplishing more tasks.”
In an article on Built In, SatyaMallick, founder of Big Vision LLC/Interim CEO, OpenCV.org, likened AI to “a rocket ship that is taking off.” He also explained that even entry-level jobs can pay extremely well. “The reason is a huge demand for AI talent and not enough people with the right expertise,” he explained.
The U.S. Bureau of Labor Statistics expects employment of computer and information technology occupations to grow 13% from 2020 to 2030 (projecting to add about 667,600 new jobs).
Companies Currently Hiring AI Positions
A recent search for “artificial intelligence” job openings on LinkedIn revealed thousands and thousands of results at a wide variety of companies. (You can see similar LinkedIn search results here.)
- Wells Fargo — Sr. Conversational AI Content Strategists
- Nike — Data Scientist, Experience Research & Analytics
- Amazon Web Services — Machine Learning Engineer
- Apple — AI/ML Software Engineer
- Spotify — Research Scientist – Language Technologies
- Microsoft — Senior Researcher
As you can see from the list above, there are many different types of positions within artificial intelligence. Some of the most common AI-related job titles, courtesy of Glassdoor, include:
- Software engineer
- Data scientist
- Software development engineer
- Research scientist
In general, tech companies (both software and hardware) dominate the list of companies that are hiring AI professionals. But a quick search on any reputable job listing site will give you a list of positions that span a variety of industries. Here is a sample of some of the top companies that are hiring for these types of AI roles:
- Deloitte
- Amazon
- Accenture
- H&R Block
- IBM
- PwC
- Fidelity Investments
- PayPal
- Major League Baseball
- Harvard Business School
- IKEA
Artificial Intelligence Salaries
Salaries are dynamic, which means the numbers we’ve listed below will fluctuate due to inflation, trends, the job market, demand and other factors.
According to our degree page, the average salary for an artificial intelligence programmer ranges from $100,000 to $150,000. Salaries are significantly higher for AI engineers, averaging $171,715 with the top 25% earning above $200,000.
There are a range of averages, depending on the position and the responsibilities, but here are the most popular:
- According to Indeed, the salary for artificial intelligence careers ranges from approximately $99,568 for a full stack developer to $141,318 for a data scientist.
- The average annual base pay for artificial intelligence salaries in the United States is $120,049, according to Glassdoor.
- According to Talent.com, the average artificial intelligence salary is $143,054 per year. Entry positions start at $115,000, and most experienced employees can make up to $200,000 per year.
Educational Preparation in Artificial Intelligence
Exciting, high-paying career opportunities in AI continue to expand across a variety of industries. The University of San Diego — a highly regarded industry thought leader and education provider — offers an innovative, online AI master’s degree program, the Master of Science in Applied Artificial Intelligence, which is designed to prepare graduates for success in this important fast-growing field. This program includes a significant emphasis on real-world applications, ethics, privacy, moral responsibility and social good in designing AI-enabled systems.
sandiego.edu/artificial-intelligence-jobs
10 Awesome & High-Paying AI Careers
Despite being a new and niche field, careers in artificial intelligence aren’t homogenous. Within AI, there are various kinds of jobs needing specific skills and experience. Let us look at the top ten one by one.
1. Machine Learning Engineer
Machine learning engineers are at the intersection of software engineering and data science. They leverage big data tools and programming frameworks to create production-ready scalable data science models that can handle terabytes of real-time data.
Machine learning engineer jobs are best for anyone with a background that combines data science, applied research, and software engineering. AI jobs seek applicants with strong mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in Java, Python, and Scala. It also helps to be well-versed in software development IDE tools like Eclipse and IntelliJ.
The average salary of a machine learning engineer in the US is $1,31,000. Organizations like Apple, Facebook, Twitter, etc., pay significantly higher—in the range of $170,000 to $200,000. Read more about ML engineer salaries here.
2. Data Scientist
Data scientists collect data, analyze it, and glean insights for a wide range of purposes. They use various technology tools, processes, and algorithms to extract knowledge from data and identify meaningful patterns. This could be as basic as identifying anomalies in time-series data or complex as predicting future events and making recommendations. The primary qualifications expected of a data scientist are:
- Advanced degree in statistics, mathematics, computer science, etc.
- Understanding of unstructured data and statistical analysis
- Experience with cloud tools like Amazon S3 and the Hadoop platform
- Programming skills with Python, Perl, Scala, SQL, etc.
- Working knowledge of Hive, Hadoop, MapReduce, Pig, Spark, etc.
The average salary of a data scientist is $105,000. With experience, this can go up to $200,000 for a director of data science position.
3. Business Intelligence Developer
Business intelligence (BI) developers process complex internal and external data to identify trends. For instance, in a financial services company, this could be someone monitoring stock market data to help make investment decisions. In a product company, this could be someone monitoring sales trends to inform distribution strategy.
However, unlike a data analyst, business intelligence developers don’t create the reports themselves. They are typically responsible for designing, modeling, and maintaining complex data in highly accessible cloud-based data platforms for business users to use the dashboards. The qualifications expected of a BI developer are:
- Bachelor’s degree in engineering, computer science, or a related field
- Hands-on experience in data warehouse design, data mining, SQL, etc.
- Familiarity with BI technologies like Tableau, Power BI, etc.
- Strong technical and analytical skills
Business intelligence developers earn an average salary of $86,500, going up to $130,000 with experience.
4. Research Scientist
The research scientist role is one of the most academically-driven AI careers. They ask new and creative questions to be answered by AI. They are experts in multiple disciplines in artificial intelligence, including mathematics, machine learning, deep learning, and statistics. Like data scientists, researchers are expected to have a doctoral degree in computer science.
Hiring organizations expect research scientists to have extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing. Knowledge of benchmarking, parallel computing, distributed computing, machine learning, and artificial intelligence are a plus.
Research scientists are in high demand and command an average salary of $99,800.
5. Big Data Engineer/Architect
Big data engineers and architects develop ecosystems that enable various business verticals and technologies to communicate effectively. Compared to data scientists, this role can feel more involved, as big data engineers and architects typically are tasked with planning, designing, and developing big data environments on Hadoop and Spark systems.
Most companies prefer professionals with a Ph.D. in mathematics, computer science, or related fields. However, as a more practical role than that of, say, a research scientist, hands-on experience is often treated as a good substitute for a lack of advanced degrees. Big data engineers are expected to have programming skills in C++, Java, Python, or Scala. They also need to have experience in data mining, data visualization, and data migration.
Big data engineers are among the best-paid roles in artificial intelligence, with an average salary of $151,300.
6. Software Engineer
AI software engineers build software products for AI applications. They bring together development tasks like writing code, continuous integration, quality control, API management, etc., for AI tasks. They develop and maintain the software that data scientists and architects use. They stay informed and updated about new artificial intelligence technologies.
An AI software engineer is expected to be skilled in software engineering and artificial intelligence. They need to have programming skills as statistical/analytical skills. Companies typically look for a bachelor’s degree in computer science, engineering, physics, mathematics, or statistics. To land a job as an AI software engineer, certifications in AI or data science are helpful too.
The average salary of a software engineer is $108,000. This goes up to $150,000 based on your specialization, experience, and industry.
7. Software Architect
Software architects design and maintain systems, tools, platforms, and technical standards. AI software architects do this for artificial intelligence technology. They create and maintain AI architecture, plan and implement solutions, choose the toolkit, and ensure a smooth data flow.
AI-driven companies expect their software architects to have at least a bachelor’s degree in computer science, information systems, or software engineering. As a practical role, experience is as important as educational qualification. Hands-on experience with cloud platforms, data processes, software development, statistical analysis, etc., will place you in good stead.
Software architects earn an average salary of $150,000. Your salary can go up significantly with expertise in artificial intelligence, machine learning, and data science.
8. Data Analyst
For a long time, the data analyst was someone who collected, cleaned, processed and analyzed data to glean insights. For the most part, these used to be mundane, repetitive tasks. With the rise of AI, much of the mundane work has been automated. Therefore, the data analyst role has upgraded to join the new set of AI careers. Today, data analysts prepare data for machine learning models and build meaningful reports based on the results.
As a result, an AI data analyst needs to know more than just spreadsheets. They need to be skilled in:
- SQL and other database languages to extract/process data
- Python for cleansing and analysis
- Analytics dashboards and visualization tools like Tableau, PowerBI, etc.
- Business intelligence to understand the market and organizational context
A data analyst earns an average salary of $65,000. However, high-technology companies like Facebook, Google, etc., pay in excess of $100,000 for data analyst roles.
9. Robotics Engineer
The robotics engineer is perhaps one of the first of AI careers, when industrial robots were gaining popularity as early as the 1950s. From the assembly lines to teaching English, robotics has come a long way. Healthcare uses robot-assisted surgeries. Humanoid robots are being built to be personal assistants. A robotics engineer’s job is to make all this and more happen.
Robotics engineers build and maintain AI-powered robots. For such roles, organizations typically expect advanced degrees in engineering, computer science, or similar. In addition to machine learning and AI qualifications, robotics engineers might also be expected to understand CAD/CAM, 2D/3D vision systems, the Internet of Things (IoT), etc.
The average salary of a robotics engineer is $87,000, which can go up to $130,000 with experience and specialization.
10. NLP Engineer
Natural Language Processing (NLP) engineers are AI professionals who specialize in human language, including spoken and written information. The engineers who work on voice assistants, speech recognition, document processing, etc., use NLP technology. For the role of an NLP engineer, organizations expect a specialized degree in computational linguistics. They might also be willing to consider applicants with a qualification in computer science, mathematics, or statistics.
In addition to general statistical analysis and computational skills, an NLP engineer would need skills in semantic extraction techniques, data structures, modeling, n-grams, a bag of words, sentiment analysis, etc. Experience with Python, ElasticSearch, web development, etc., could be helpful.
The average salary of an NLP engineer is $78,000, going up to over $100,000 with experience.
Which Industries Are Hiring AI Professionals?
There are over 15,000 jobs in AI listed on LinkedIn today. Organizations across a wide range of industries are hiring. The industry with the most number of open AI careers appears to be technology with companies like Apple, Microsoft, Google, Facebook, Adobe, IBM, Intel, etc. hiring for AI roles.
Closely following this are also consulting majors such as PWC, KPMG, Accenture, etc. Healthcare organizations are hiring more—GlaxoSmithKline has multiple open AI-related positions. Retail players like Walmart and Amazon and media companies like Warner and Bloomberg are also hiring.
Sakshi Gupta Springboard.com careers-in-AI
18 Artificial Intelligence (AI) Jobs and Career Outlook
1. Computer engineer
National average salary: $51,619 per year
Primary duties: A computer engineer creates, tests and maintains computer hardware or systems. Their responsibilities may include researching hardware systems, writing and testing programming code and designing software for robots. Computer engineers can use AI to automate some tasks and find useful data patterns to improve engineering systems.
2. Data analyst
National average salary: $74,433 per year
Primary duties: A data analyst is a technology expert who organizes and translates data for clients. Their duties can include conducting system tests, gathering data, monitoring data and creating reports based on findings. In AI, data analysts
focus on data related to automation or AI processes.
3. Manufacturing engineer
National average salary: $85,552 per year
Primary duties: A manufacturing engineer works to design and improve manufacturing systems. Their duties can include analyzing current procedures, finding areas of improvement and creating new designs for manufacturing tools or systems. In AI, they may focus on developing AI systems for the manufacturing industry to improve operations in a facility and increase output, reduce costs or both.
4. Mechanical engineer
National average salary: $88,434 per year
Primary duties: Mechanical engineers design, test and improve mechanical devices. They may analyze equipment, troubleshoot errors and supervise the mechanical manufacturing process. They might work on AI mechanics or design AI systems.
5. Robotics automation technician
National average salary: $88,778 per year
Primary duties: Robotics automation technicians test, operate and refine automated processes in robotic machines or software. They may perform tests, evaluate computer programs, troubleshoot automation issues and design new control systems or software. They may also install new systems and perform maintenance work on machines operating with artificial intelligence instruction.
6. Research and development engineer
National average salary: $89,278 per year
Primary duties: A research and development engineer researches, tests and analyzes products and systems. Their typical duties can include conducting market research, planning research teams and designing research processes. They may also analyze and redesign existing systems and products to make them more effective or efficient.
7. Research scientist
National average salary: $91,562 per year
Primary duties: Research scientists gather data and information in controlled experiments. They may design lab experiments, investigations and tests in a variety of industries, including AI research. Specific duties may include planning experiments, recording data, performing analysis, writing research papers and presenting findings at scientific conferences.
8. Business intelligence developer
National average salary: $93,256 per year
Primary duties: A business intelligence developer is an engineer who specializes in designing business intelligence programs. Their duties may include designing and testing query tools, data models and data visuals. They may use AI to simplify their processes.
9. Electrical engineer
National average salary: $93,774 per year
Primary duties: An electrical engineer creates, evaluates and maintains electric systems. Their duties can include overseeing the design process for electric processes, designing new electric equipment and collaborating with a production team. They may use AI systems to gather important engineering data and optimize system plans.
10. Robotics engineer
National average salary: $101,616 per year
Primary duties: A robotics engineer designs new robotic products and systems. They may create prototypes or samples, build and analyze new machines and test new robotic products. They can also maintain and operate the software that controls a robotic machine using artificial intelligence instructions.
11. Computer scientist
National average salary: $103,719 per year
Primary duties: Computer scientists use computer technology to solve challenges. Their duties can include writing programming software, researching new technology methods and creating new technology products. They may develop AI programming to complete complex algorithms quickly.
12. Software engineer
National average salary: $114,435 per year
Primary duties: A software engineer designs and tests new software programs. They may create systems, maintain software and collaborate with software developers. In AI, they can work to create software programs for machine learning or develop software that provides artificial intelligence instruction to machines, computers and devices.
13. Computer vision engineer
National average salary: $124,373 per year
Primary duties: A computer vision engineer uses software to analyze large amounts of data. They may research machine learning techniques, create automation processes and design embedded systems. They also often work with visual data, including video feeds or computerized images.
14. Data scientist
National average salary: $130,556 per year
Primary duties: Data scientists gather data and interpret the results into reports. They may work with statistical models, collaborate with clients and software teams and communicate the data results with an audience. They may use AI to simplify their data processes.
15. Big data engineer
National average salary: $133,279 per year
Primary duties: A big data engineer is a computer expert who specializes in raw data sets. Their duties can include analyzing raw data, translating data and evaluating data sources. They may develop or use AI systems to create databases, digital warehouses or systems for data analysis.
16. User experience specialist
National average salary: $139,795 per year
Primary duties: User experience (UX) specialists work to improve the user experience for customers. They may create automated tests, collaborate with marketing teams and revise computer code. The goal of a UX specialist is to help create a satisfying and intuitive interface for customers, which may include the use of AI tools such as chatbots or algorithmically driven pages.
17. Machine learning engineer
National average salary: $154,359 per year
Primary duties: A machine learning engineer designs and improves machine learning systems. Their duties can include testing systems, designing AI algorithms and conducting tests. They may also train systems to perform specific actions.
18. Algorithm developer
National average salary: $154,859 per year
Primary duties: An algorithm developer analyzes and writes algorithms, which are procedures designed to automate a system or process in technology. Their daily duties may include researching algorithms, collaborating with a developing team and conducting performance tests to improve the algorithm. They may also troubleshoot existing systems to find solutions to bugs in the code.
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