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Algorithms Jobs in Ohio (NOW HIRING)

KBR

Senior Software Engineer

Dayton, OH

$150K - $200K/yr

Lead development and implementation of algorithms grounded in first principles physics, including measurement modeling, error characterization, and estimator behavior under non ideal conditions

KBR

Senior Software Engineer

Beavercreek, OH · On-site

$150K - $200K/yr

Lead development and implementation of algorithms grounded in first principles physics, including measurement modeling, error characterization, and estimator behavior under non ideal conditions

BAE Systems

Eng II - Signal & Image Proc

Dayton, OH · On-site

$72K - $122K/yr

Test the performance of algorithms, tools and processing methods and make recommendations to increase accuracy and efficiency. * Coordinate research activities within a team. * Collaborate with ...

Statheros

Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases. * Develop and train reinforcement learning models for real-world applications, focusing on ...

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All JobsAlgorithms JobsAlgorithms Jobs in Ohio

Algorithms information

See Ohio salary details

$60.8K

$123.6K

$176.4K

How much do algorithms jobs pay per year?

As of Jun 19, 2026, the average yearly pay for algorithms in Ohio is $123,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,010.00 and $146,259.00 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.
What cities in Ohio are hiring for Algorithms jobs? Cities in Ohio with the most Algorithms job openings:
Algorithms jobs near you
Senior Image Scientist / Imagery Analyst IV

Senior Image Scientist / Imagery Analyst IV

Cornerstone Signals & Cyber Technologies LLC

Dayton, OH • Remote

$180K/yr

Full-time

Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Paid time off
  • Vision insurance

Senior Image Scientist / Imagery Analyst IV
Location: Wright-Patterson AFB, OH
Clearance Requirement: Active TS/SCI Required; SAP Eligibility Preferred
Employment Type: Full-Time
Customer: National Space Intelligence Center (NSIC)
Position Overview
Cornerstone is seeking a Senior Image Scientist / Imagery Analyst IV to support the National Space Intelligence Center (NSIC), 4th Intelligence Analysis Squadron (4 IAS), Non-Earth Imagery (NEI) Flight. Personnel supporting this effort will provide advanced image science, electro-optical (EO) data exploitation, image enhancement, remote sensing, and scientific analysis supporting highly classified space intelligence missions.
The selected candidate will leverage expertise in image processing, sensor phenomenology, computational imaging, algorithm development, and scientific programming to improve imagery exploitation capabilities supporting national security objectives. Personnel will work alongside Government scientists, intelligence analysts, engineers, and mission partners to address emerging foreign space and counterspace intelligence requirements.
Responsibilities
  • Perform advanced image science and imagery exploitation activities supporting Non-Earth Imagery (NEI) mission requirements.
  • Conduct electro-optical (EO) image analysis and scientific assessment of sensor-derived data.
  • Research, develop, test, and validate image enhancement techniques, algorithms, and processing methodologies.
  • Apply image processing, computational imaging, and remote sensing techniques to improve image quality and analytic effectiveness.
  • Develop, maintain, and enhance software tools, scripts, and procedures supporting image exploitation workflows.
  • Analyze sensor performance, image quality, and phenomenology characteristics to support intelligence production.
  • Support testing, validation, and transition of image processing techniques into operational environments.
  • Develop technical reports, algorithm documentation, user guides, and scientific assessments.
  • Collaborate with Government personnel and mission partners to address emerging intelligence requirements and technical challenges.
  • Provide technical recommendations regarding image processing approaches, exploitation methodologies, and analytic improvements.
Required qualifications
  • Active TS/SCI clearance.
  • Master's Degree in Image Science, Electrical Engineering, Physics, Computer Science, Remote Sensing, Applied Mathematics, or related scientific or engineering discipline.
  • Minimum 10 years of experience supporting image science, image processing, remote sensing, computational imaging, scientific analysis, or related technical disciplines.
  • Experience with electro-optical (EO) imagery exploitation and sensor data analysis.
  • Experience developing, testing, or evaluating image processing algorithms and enhancement techniques.
  • Experience supporting classified intelligence, scientific, research, or engineering environments.
  • Strong technical writing and documentation skills.
Desired qualifications
  • Experience supporting NASIC, NSIC, NGA, NRO, AFRL, or other Intelligence Community organizations.
  • Experience with MATLAB, Python, C++, or other scientific programming languages.
  • Knowledge of sensor phenomenology and electro-optical imaging systems.
  • Experience with TIFF, NITF, HDF5, or similar imagery formats.
  • Experience supporting space intelligence, foreign space systems analysis, or counterspace mission areas.
  • Experience applying machine learning or artificial intelligence techniques to imagery exploitation challenges.
  • Familiarity with Special Access Program (SAP) environments.
Salary
$150,000
The salary listed represents the anticipated starting salary range for qualified candidates. Higher compensation may be offered based on directly relevant experience, mission expertise, technical qualifications, certifications, education, and clearance level.