Algorithm Engineer Career Guide
Algorithm engineers—also called algorithm developers—are responsible for the design and integration of algorithms. Well-designed algorithms offer real-time solutions when installed into a software or computer environment. The algorithms that algorithm engineers develop are useful in a variety of fields, including web engineering and signal processing.
Sometimes considered highly proficient programmers because of the commonalities in shared coding languages, algorithm engineers often draft algorithms specifically to help clients or employers solve issues or achieve intended results.
Among other reputed information technology careers to consider, the career of an algorithm engineer is ideal for individuals with a knack for specialized technology, coding languages, and data sets, as well as a passion for problem-solving.
An algorithm engineer is responsible for improving AI applications, to help clients or employers identify patterns or problems in data sets. One of several high-profile artificial intelligence jobs, the role of an algorithm engineer commonly includes the creation, installation, and analysis of algorithms for evaluation purposes.
Algorithm engineers do more than write new algorithms when required. They are also responsible for testing their algorithms against expectations, gauging technology and data efficiency to inform a company’s results. Ultimately, algorithm engineers work to improve the efficiency of artificial intelligence systems, as well as the application of AI known as machine learning.
As a highly specialized position within the information technology field, algorithm engineer careers require at least a bachelor’s degree, and experience in a relevant field.
An algorithm engineer will fulfill several job duties, mostly tied to the creation of algorithms for deployment across AI systems. The exact job responsibilities of an algorithm engineer may include:
- Algorithm creation for AI applications that recognize patterns in data and draw conclusions from them.
- Algorithm testing for use in AI technology, various software programs, and machine-learning applications.
- Testing algorithm results to determine the degree of success an algorithm might have in crawling data sets, solving problems, and deciphering information.
- Algorithm reporting to identify and present findings in user-friendly report formats.
- Research into potential algorithm improvements to further enhance algorithm efficiency.
- Communication with team members, fellow algorithm engineers, and clients.
These main responsibilities define much of the day-to-day activity of an algorithm engineer, a career that requires both regular troubleshooting and regular communication.
Algorithm engineers often must complete technology-specific certifications before they are considered for employment. Algorithm engineers often pursue the following certifications:
- CompTIA A+
- CompTIA Project+
- CIW User Interface Designer
- ITIL®1 Foundation
These certifications help inform a student’s understanding of necessary programming languages.
Students pursuing a career as an algorithm engineer should first earn a bachelor’s degree in software development, computer science, or a related degree. Any student looking to further increase their employment aptitude can pursue a master’s degree in similar fields.
Our undergraduate and master’s courses contribute directly to your career as an algorithm engineer. You will immediately benefit from our instructors’ dedication to teaching the fundamentals, including Java and C++ application development, web programming, data structures, computer theory, artificial intelligence, and system architecture.
Each of the skills you’ll acquire through your courses is immediately applicable on day one of your career as an algorithm engineer. After completing an applicable IT degree, you’ll have all of the industry understanding you’ll need to fill the shoes of an algorithm engineer, from algorithm development to data-based research.
Software Development – B.S.
You're a creative and tech genius who wants the bigger...
You're a creative and tech genius who wants the...
You're a creative and tech genius who wants the bigger opportunities.
- Time: 67% of graduates finish within 30 months.
- Tuition and fees: $3,920 per 6-month term.
- Certifications: several CompTIA included in this program.
CompTIA certifications included:
- CompTIA A+
- CompTIA Project +
Software development is the second-highest rated specialty within IT. Secure your future with a degree and additional certifications.
Computer Science – B.S.
Problem solvers and math lovers needed! Your task: ...
Problem solvers and math lovers needed! Your...
Problem solvers and math lovers needed! Your task:
Lay the groundwork for the computing breakthroughs that will enable tomorrow's technologies.
- Time: 70% of graduates in similar programs finish within 23 months.
- Tuition and fees: $3,920 per 6-month term.
- Transfer: Your previous college coursework and existing certifications may waive course requirements, helping you finish even faster.
You'll have the opportunity to earn these certifications:
- CompTIA Project+
- Axelos ITIL Foundation
Professionals who need the skills a computer science degree provides include computer systems analysts, computer programmers, artificial intelligence specialists, software engineers, machine learning engineers, and more.
No need to wait for spring or fall semester. It's back-to-school time at WGU year-round. Get started by talking to an Enrollment Counselor today, and you'll be on your way to realizing your dream of a bachelor's or master's degree—sooner than you might think!
Algorithm engineers regularly use their highly developed skills to help clients improve processes and find solutions in data sets. These specific skills include:
- Algorithm development and deployment skills: The ability to create and implement algorithms to solve client problems and contribute to AI functionality.
- Advanced coding skills: The ability to code algorithms to assess data sets, through the use of appropriate programming languages like Python and C++.
- Analytical thinking: The ability to critically assess a project, and develop an algorithm that combs data sets to arrive at specific conclusions.
- Signal processing skills: The ability to analyze and synthesize signals to improve the efficiency of transmissions, storage, and data quality.
- Results reporting skills: The ability to provide real-time algorithm results to company executives.
- Machine learning aptitude: The ability to integrate algorithms and statistical models with computer systems, which identify data patterns.
- Team coordination: The ability to assist other algorithm engineers and team members in together fulfilling project schedules.
These and other skills help algorithm engineers thrive in a technological environment.
How Much Does an Algorithm Engineer Make?
The exact income for an algorithm engineer will vary based on employer, employer location, years of experience, algorithm proficiency, and other factors. The salary of an algorithm engineer averages $121,500; the lowest earners on the pay scale make about $103,000, while the highest make $142,000.
The high average income range for algorithm engineers — together with other rewarding aspects of the job — makes a student’s initial investment in a computer science degree well worth the effort.
What is the Projected Job Growth?
Bolstered by our society’s increasing dependency on technology, the career outlook for an algorithm engineer is a bright one. Computer and information research science careers are expected to grow 15% from 2019 to 2029, much faster than the average expansion rate for all jobs.
The demand for adept algorithm engineers is expected to grow in parallel with the demand for data collection, and improved technology interpretation in general. As artificial intelligence begins to better inform a company’s understanding of customer activity, the need for algorithm engineers will only grow more intense.
Where Do Algorithm Engineers Work?
Algorithm engineers commonly work onsite at an employer’s place of business, where they are responsible for launching algorithms that can contribute to data solutions. They typically work for tech companies such as Google, Facebook, Microsoft, and Apple.
In other cases, freelance algorithm engineers work virtually. Freelance algorithm engineers can be contracted to work on specific projects, and they often work remotely unless called into a client’s office.