What are careers in AI?

Machine learning engineers, data scientists, and mechanical engineers are careers in AI. Here are some descriptions of these careers and others in AI:

• Machine learning engineer

A machine learning engineer is a tech professional that writes low-level code to tweak and optimize default implementations.

They are also proficient in high-efficiency programming languages such as C++, Java, and Scala. Machine learning engineers are mainly focused on taking models and helping scale them out into production while ensuring adherence to business service level agreements.

Machine learning engineers often work in the artificial intelligence industry. They work with data scientists, computer engineers, and developers to create programs that allow machines to function without direct human assistance.

The average annual salary of a machine learning engineer in the United States is $149,750.

• Data scientist

A data scientist is a tech professional that writes high-level code with Python or R, and they often use BI tools for data analysis and visualization.

Data scientists are considered builders. They are tasked with analyzing and understanding specific business problems, feature engineering, developing, selecting, and tuning models, and then generating insights to present to stakeholders. They often utilize AI to simplify their data processes.

The average annual salary of a data scientist in the United States is $120,882.

• Mechanical engineer

A mechanical engineer is someone who deals with the moving parts of a machine or system. Their expertise is of high value in the artificial intelligence industry.

Mechanical engineers use physics and math principles to create, modify, or maintain mechanical machines or systems. They also take part in the designing and testing of mechanical machines or systems.

In addition to the AI industries, mechanical engineers also work in areas containing internal combustion engines, airplanes, aerospace, ships, as well as many others.

The average annual salary of a mechanical engineer in the United States is $93,317.

Robotics automation technicians' work focuses on the testing, operating, and refinement of automated processes involved in robotic machines or computer software. Other common activities include evaluating computer programs, adjusting automation controls, and designing new system controls and software.

They often work alongside engineers in the AI industry. The average annual salary of a robotics automation technician in the United States is $77,726.

• Full stack developer

A full stack developer is a tech professional that takes care of building an application, including user interface design, logic design, code writing, and testing. Full stack developers work on both front-end and back-end processes in the development, integration, and maintenance of automated, machine learning, and soft AI processes.

Full stack developers often hold leadership roles in software engineering and development departments at tech companies. They design and create code for websites and applications.

They also may interact with clients and work on databases, application programming interfaces (APIs), and servers. Full-stack developers often know how to work with multiple coding languages, such as HTML, CSS, and JavaScript.

The average annual salary of a full-stack developer in the United States is $106,043.