OVERVIEW
What Is a Human-Centered Machine Learning Designer?
A human-centered machine learning designer works to create technology-based programs, applications, and devices that ultimately solve the issues experienced by people using the technology.
As a human-centered machine learning designer, you will become familiar with a problem humans are facing or a process that could become more efficient through the integration of specific technology. You will then design a solution for this issue, utilizing common coding languages and specific programming tools. These solutions will be specifically geared toward helping humans solve human problems through the use of human elements that allow your technology to learn as it gathers data.
The position of a human-centered machine learning designer requires at least an undergraduate degree in an information technology (IT) field. Typically, you will also need to obtain one or more certifications in core programming languages.
RESPONSIBILITIES
What Does a Human-centered Machine Learning Designer Do?
The role of a human-centered machine learning designer can vary. On some days, you might spend most of your time communicating with clients or companies to discover how you can create machine learning solutions that eliminate the need for human input down the road.
On other days, you might spend more of your time troubleshooting technological issues, or coding new human-centered machine learning applications.
The exact responsibilities of a human-centered machine learning designer can include:
- Using programming languages like Python and C++ to develop human-centered machine learning applications.
- Communicating with team members and other human-centered machine learning designers to create technological solutions according to client specifications.
- Solving any technology-related issues in the performance of your applications.
- Corresponding with clients to provide project updates or gauge feedback on program designs and performance to date.
- Researching new methods for human-centered machine learning application design and development.
- Testing human-centered machine learning programs as they are created in order to identify and address any programmatic flaws.
These and other responsibilities help human-centered machine learning designers find success on a day-to-day basis.
EDUCATION & BEST DEGREES
What Education Does a Human-Centered Machine Learning Designer Need?
Before aspiring human-centered machine learning designers can begin rewarding IT careers, they must satisfy a few educational requirements. First, you'll need an undergraduate degree. Commonly, human-centered machine learning designers choose to pursue a bachelor’s degree in an information technology field. Computer science is an ideal choice for a machine learning designer, as this type of degree will give students extensive experience and knowledge in programming languages that are critical for machine learning careers. Focuses on data structures, algorithms, and AI are all vital to being prepare for your future work responsibilities.
Best Degrees for a Human-Centered Machine Learning Designer
Technology
Computer Science – B.S.
Problem solvers and math lovers needed! Your task:...
Problem solvers and math lovers needed! Your task:
Lay the groundwork for the computing breakthroughs that will enable tomorrow's technologies. Utilize your previous college courses or IT experience to help you complete your degree faster.
- Time: 60% of graduates in similar programs finish within 24 months.
- Tuition: $4,085 per 6-month term.
- Courses: 37 total courses in this program.
You'll have the opportunity to earn these certifications:
- Linux Essentials
- Axelos ITIL Foundation
Skills for your résumé that you will learn in this program:
- Artifical Intelligence (AI)
- Machine Learning
- Logic
- Architecture and systems
- Data structures
- Computer theory
- Version Control
- Linux
How Much Does a Human-Centered Machine Learning Designer Make?
$116,668
The exact income of a human-centered machine learning designer will vary based on several factors that can include your employer, employer’s location, employer funding, years of experience, education, and obtained certifications. In general, the salary of a human-centered machine learning designer can average $116,668, with a range of roughly $25,000 to $179,000 earned each year.
What Is the Projected Job Growth?
15%
The job outlook for a human-centered machine learning designer is expected to remain favorable for years to come. Employment for computer and information research scientists is estimated to grow 15% from 2019 to 2029, a growth rate well above the estimated average across all occupations. As an industry, machine learning is enjoying rapid growth as it matures. Machine learning positions continue to become available as more organizations look to leverage artificial intelligence to inform better business decisions.
SKILLS
What Skills Does a Human-Centered Machine Learning Designer Need?
A human-centered machine learning designer puts a wide skill set to use daily. Responsible for the ideation, creation, testing, and deployment of human-centered machine learning applications, you’ll need to put effective communication and coding skills to use every day.
The skills that a human-centered machine learning designer needs can include:
- Teamwork. The ability to work together with clients, company executives, programmers, application developers, designers, and other human-centered machine learning designers.
- Programming. The ability to fully leverage common coding languages like Python, HTML, and C++ to design human-centered machine learning applications.
- Testing. The ability to test any programs and applications you have developed, using a variety of methods to ensure that real-life machine learning use does not cause errors.
- Troubleshooting. The ability to creatively solve issues that machine learning technology might be facing.
- Interpersonal communication. The ability to correspond effectively with all team members and executives in a human-centered machine learning work environment.
- Platform optimization. The ability to optimize a specific technological platform for more efficient performance and use of internal storage.
- Cybersecurity. The ability to integrate the latest encryptions into all software and hardware applications to keep all processes and programs safe from data breaches.
These and other responsibilities keep a human-centered machine learning designer busy and contribute to success in any technology-based work environment.
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