Software Engineer
Software engineers are basically computer scientists with a keen interest in writing applications. Software engineers use the principles from computer science and engineering in mathematics acquired from their machine learning degree, to design and develop software. They build things like apps, databases, and operating systems out of computer-based algorithms – which means they need to be able to write code that a computer can understand. Machine learning specialists use analytical tools and processes to make mathematical models in order to develop software. In short, computer scientists have started using mathematical principles in their work. Salary: $110,140 per year
Designers of Human-Centered Machine Learning
Designers in human-centered machine learning have to constantly juggle these three parts: user experience, applications, and data. These are all part of any one ‘system’ that allows them the opportunity to create something that can be useful and meaningful for a person. This means understanding how users will interact with the machine. The designers create a system that runs on ‘data’, which is essentially a stream of information which then processes that information through an ‘application’ and gives it back to the user in the form of a ‘user experience’.
Netflix is a good example of companies creating interfaces that mimic personalization and in turn create a better experience based on machine learning, but the process can be more abstract. We are able to ‘train’ our smartphones to recognize a voice, we can even train our phones to ‘learn’ and better suit our needs. This is all based on data and algorithms that eventually make sense and ‘learns’ as an individual user.
Machine learning will become increasingly useful for businesses, as it is expected to be commonly used in the coming years. As a result, more designers will likely need to be involved in human-centered machine learning in order to build such technologies.
With large data sets tracking financial data online, machine learning is gaining an important role in the financial industry as more and more people rely on online banking. Banks are working with software developers to design programs that are able to detect subtle patterns found within these vast data sets. Machine learning algorithms are designed to find these patterns and connect them to past events that may or may not have been considered fraudulent.
While ZipRecruiter is seeing annual salaries as high as $179,000 and as low as $25,000, the majority of Human Centered Design salaries currently range between $81,500, (25th percentile) to $176,500, (75th percentile) with top earners (90th percentile) making $177,000 annually across the United States.
Computational Linguist
Computer linguists use and develop a variety of programs and applications that help machines learn to follow spoken commands and to recognize conversational patterns. They test these programs for accuracy through subjectivity tests, in which participants in a focus group verbally respond to a series of questions or verbal instructions.
Computational linguists can find high-paying jobs in banks, government agencies and research organizations. They might work with teams of economists, lawyers or scientists, for example, with the goal of building programs capable of mining legal documents and spotting trends that humans might fail to recognize.
Salary level varies depending on the industry and particular role. PayScale indicates that computational linguists make an average of about $81,747 a year, with the top-end annual salary at $106,000.
Data Scientist
When applying to become a data scientist, you will need to be proficient in multiple programming languages. Programming languages that include statistics, such as R, Python, and SQL are used every day by data scientists. This is because these languages have ways of analyzing and organizing information. Data analysis is the process of using data to discover useful information. If you’re thinking about becoming a data scientist, learning these programming languages will help you get your foot in the door.
For most data scientists, the job is not only about using cutting-edge machine learning algorithms but also about integrating analytical methods to resolve business challenges. Data scientists typically have an engineering degree in Computer Science, Engineering or Mathematics. Their focus is on applying their technical skills while making strategic decisions for running a highly successful enterprise: They will be responsible for developing new solutions and helping organizations reduce cost and improve their performance through data analytics and a predictive approach.
The average data scientist salary is $126,830 per year, according to the U.S. Bureau of Labor Statistics. The driving factor behind high data science salaries is that organizations are realizing the power of big data and want to use it to drive smart business decisions.
Software Developer
Software developers also help to make sure that upgrades work properly, and they will provide documentation for the systems they build to assist with the machine’s ongoing maintenance. Their work involves strategic planning, including the creation of models and diagrams, to plot out how an entire system will need to work in concert with its various parts and components. These specialists are also responsible for creating user manuals and training guides for other users of the software.
A software developer is responsible for creating and maintaining the source code which drives a computer’s operating system and applications. They also test these programs to see if they are working according to their specifications and can then deploy them across their organization. The work of a software developer encompasses writing and updating code, estimating timelines for the completion of programming tasks, and creating features to complete larger tasks. A developer must not only have strong knowledge of computer science and how the hardware and software systems interact, but also database modeling, data structures, technical writing, problem solving skills and a sound understanding of storage architecture, such as distributed processing.
The average salary for a Software Developer is $72,283. Visit PayScale to research software developer salaries by city, experience, skill, employer and more.
