1

Algorithms Jobs in Virginia (NOW HIRING)

Senior Software Engineer

Arlington, VA · On-site

$139K - $180K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Software Engineer

Arlington, VA · On-site

$111K - $140K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Associate Software Engineer

Arlington, VA · On-site

$93K - $115K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Senior Software Engineer

Arlington, VA · On-site

$139K - $180K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Software Engineer

Arlington, VA · On-site

$111K - $140K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Associate Software Engineer

Arlington, VA · On-site

$93K - $115K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

Machine Learning Engineer

Centreville, VA · On-site

$102K - $144K/yr

Analyze ML algorithms to solve a given problem and rank them by their success probability on new data * Set objectives and develop models that help achieve them, along with metrics to track their ...

Evaluate the performance of algorithms in simulation and on the target platform. * Develop test software and drivers to support unit, integration, and system testing of all base station software ...

Data Scientist- TS/SCI

Arlington, VA · On-site

$110K - $210K/yr

MORSE is searching for a Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data ...

$109K - $149K/yr

Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic execution tools for the cryptocurrency markets. In this role, you will focus on creating ultra-low ...

Autonomy Software Engineer

Arlington, VA · On-site

$174K - $225K/yr

Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time ...

next page

Showing results 1-20

Algorithms information

See Virginia salary details

$64.7K

$131.5K

$187.7K

How much do algorithms jobs pay per year?

As of Jun 19, 2026, the average yearly pay for algorithms in Virginia is $131,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,464.00 and $155,605.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and create software solutions, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and coding skills are essential in these fields.

What is the job of an algorithm?

The job of an algorithm is to provide a step-by-step procedure for solving a specific problem or performing a task efficiently. In programming and data analysis, algorithms are used to process data, make decisions, and optimize outcomes, often requiring knowledge of coding languages and logical thinking.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What are algorithms in the context of computer science jobs?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What jobs pay 500,000 a year in the US?

In the field of algorithms, senior roles such as Principal Data Scientist, Lead Machine Learning Engineer, or Chief Data Officer can reach or exceed $500,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in machine learning, data analysis, and programming, along with extensive experience and often a master's or PhD degree.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.

What jobs pay 10,000 a month without a degree?

In the field of algorithms and related tech roles, high-paying jobs such as software developers, data scientists, and machine learning engineers can earn $10,000 or more per month, often without a formal degree if they have strong coding skills, experience, and certifications. Freelance consulting, contract work, or positions in tech startups may also offer such salaries based on expertise and project scope.
Senior Data Scientist TS/SCI CI poly

Senior Data Scientist TS/SCI CI poly

TENICA and Associates LLC

Springfield, VA

Other

Posted 22 days ago


Job description

TENICA is looking to hire a Senior Data Scientist in Springfield, VA. MUST HAVE TS/SCI with CI poly.

Develop and conduct algorithm quality trade studies related to synthetic aperture radar imagery, identifying best use cases for selected algorithms, and characterizing performance of algorithms when used outside the best use case scenarios.  Prototype an analytical procedure that will generate confidence values based on algorithm outputs.  Refine the verification and validation process for analytics.  Enhance existing models to leverage analytic output for driving automated tasking.   Develop scripts for running and testing the algorithms and analytics, using programs such as Databricks, Python, and Jupyter Notebook.  Make presentations and reports at the request of the government in addition to a task kick off, midpoint review, and final report and presentation.

Experience in at least two of the following areas is required: Mathematics/Statistics; Computer Science; Domain Expertise/ Analysis; and Presentation.9 years of experience and a MA/MS degree. In place of the degree, may substitute 19 years of relevant work experience.  Desirable skills and experience include synthetic aperture radar image science or analysis; other remote sensing imaging such as multispectral; programming and script development; data science; Python, Databricks, Jupyter Notebook;  Intelligence Community analytical workflows.