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Algorithm Jobs in Maryland (NOW HIRING)

Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets. * Create and optimize image stitching, registration ...

Practical Algorithm Innovation: Lead the hands-on development of Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed to scale for real-world impact. You will emphasize "hardware-aware ...

Test the capability of software and algorithms within an embedded systems environment. * Apply multi-disciplinary optimization techniques for early phase vehicle designs. * Develop software to ...

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Algorithm information

See Maryland salary details

$32

$76

$100

How much do algorithm jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for algorithm in Maryland is $76.18, according to ZipRecruiter salary data. Most workers in this role earn between $64.86 and $86.30 per hour, depending on experience, location, and employer.

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

High-paying roles for algorithms or related fields often include senior software engineers, machine learning engineers, and data science directors, especially in large tech companies or finance firms. These positions typically require advanced skills, extensive experience, and often involve leadership responsibilities or specialized expertise in areas like artificial intelligence or quantitative analysis.

What are the key skills and qualifications needed to thrive in the Algorithm position, and why are they important?

To excel as an Algorithm Engineer, you typically need a strong background in computer science, mathematics, and programming languages such as Python, C++, or Java, often supported by a relevant degree. Familiarity with algorithms and data structures, version control systems like Git, and experience with technical tools such as MATLAB or TensorFlow are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills are crucial soft skills for this position. These competencies are essential to create efficient algorithms, collaborate across teams, and drive innovation in computational solutions.

What is an Algorithm job?

An Algorithm job typically involves designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Professionals in this role work in fields like computer science, data science, artificial intelligence, and software development. They create algorithms for tasks such as data processing, machine learning, search optimization, and automation. Strong mathematical and programming skills are essential, along with knowledge of algorithmic complexity and data structures.

What jobs pay 2000 a day?

High-paying jobs that can earn around $2,000 a day typically include specialized roles such as senior software engineers, data scientists, management consultants, and certain medical professionals like surgeons. These positions often require advanced skills, extensive experience, and sometimes certifications, and may involve consulting, contract work, or high-demand industries.

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

In the field of algorithms and related tech roles, high-paying positions such as software developers, data scientists, and machine learning engineers can earn $10,000 or more monthly, often requiring strong programming skills, experience, and sometimes certifications. Many of these roles are available through self-education, online courses, and practical experience, with remote work options increasing accessibility for those without formal degrees.

What are typical projects or tasks that an Algorithm Engineer works on?

As an Algorithm Engineer, you might work on developing and optimizing algorithms for tasks like data analysis, machine learning, computer vision, or operations research, depending on the industry. Daily responsibilities often include writing and testing code, analyzing performance bottlenecks, and collaborating with data scientists, product managers, or software engineers to integrate algorithms into production systems. You may also be involved in researching new techniques, reviewing technical literature, and presenting your findings to technical and non-technical audiences. This role often requires balancing creative problem-solving with practical implementation and continuous improvement.

What careers use algorithms?

Algorithms are fundamental to many careers in computer science, data analysis, software engineering, artificial intelligence, and cybersecurity. Professionals in these fields develop, analyze, and implement algorithms to solve complex problems, optimize processes, and improve system performance, often using programming languages and tools like Python, Java, or MATLAB.
What cities in Maryland are hiring for Algorithm jobs? Cities in Maryland with the most Algorithm job openings:
Infographic showing various Algorithm job openings in Maryland as of June 2026, with employment types broken down into 12% Locum Tenens, 65% Full Time, 21% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $158,454 per year, or $76.2 per hour.
Image Processing SME

Image Processing SME

InterImage

Fort George G Meade, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

We are seeking a highly skilled Image Processing Subject Matter Expert (SME) to support the development of advanced imaging and signal processing solutions within a cutting-edge FPGA engineering environment. The ideal candidate will possess deep expertise in scientific and computational imaging, image correction algorithms, machine vision, and automated image analysis. This role will work closely with FPGA, software, hardware, and algorithm development teams to design and optimize image processing pipelines for high-performance, mission-critical applications.
The successful candidate will contribute to the development of advanced imaging solutions involving microscopy, scientific sensors, electro-optical systems, and other high-resolution imaging platforms. This position offers the opportunity to solve complex imaging challenges while supporting innovative technologies for government, research, and commercial applications.
Responsibilities
  • Analyze and develop image correction algorithms to compensate for optical aberrations, lensing defects, sensor non-linearity, geometric distortions, illumination inconsistencies, and other imaging artifacts.
  • Design, evaluate, and optimize advanced image processing pipelines for scientific and high-resolution imaging systems.
  • Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets.
  • Create and optimize image stitching, registration, and mosaic generation techniques for microscopy and scientific imaging applications.
  • Implement image preprocessing methods including noise reduction, deconvolution, contrast enhancement, normalization, filtering, and edge detection.
  • Collaborate with FPGA engineers to transition computational imaging algorithms into hardware-accelerated implementations.
  • Evaluate algorithm performance, accuracy, throughput, and resource utilization for real-time and near-real-time processing applications.
  • Develop and validate machine learning and computer vision models for automated image analysis workflows.
  • Support integration, testing, verification, and validation of imaging systems and processing pipelines.
  • Work with multidisciplinary teams including FPGA developers, software engineers, optical engineers, data scientists, and system architects.
  • Document technical designs, algorithm performance analyses, validation results, and implementation approaches.
  • Provide technical leadership and subject matter expertise on imaging science, computational photography, and machine vision technologies.

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, Imaging Science, or a related technical discipline.
  • 8+ years of experience developing advanced image processing, computer vision, or computational imaging solutions.
  • Strong understanding of image formation, optics, sensor technologies, and imaging system performance characteristics.
  • Demonstrated experience correcting scientific image data affected by aberrations, lens distortion, optical anomalies, non-uniform illumination, and sensor artifacts.
  • Expertise in object detection, feature extraction, image segmentation, and pattern recognition algorithms.
  • Experience developing image registration, alignment, and stitching solutions for large-scale image mosaics.
  • Strong knowledge of image preprocessing techniques and enhancement methodologies.
  • Experience handling large, high-resolution image datasets while optimizing performance and computational efficiency.
  • Proficiency in Python, C++, MATLAB, or similar algorithm development environments.
  • Ability to communicate complex technical concepts effectively across engineering disciplines.
Desired Qualifications
  • Experience supporting FPGA-based image processing architectures and hardware acceleration initiatives.
  • Knowledge of GPU computing, parallel processing, and high-performance computing techniques.
  • Experience developing machine learning models for image classification, detection, segmentation, and anomaly detection.
  • Familiarity with hyperspectral, multispectral, electro-optical, infrared, or scientific imaging systems.
  • Experience working with microscopy imagery, laboratory imaging systems, or advanced scientific instrumentation.
  • Knowledge of computer vision model deployment for real-time processing environments.
  • Experience supporting government agencies, research laboratories, federally funded research organizations, or commercial entities focused on imagery exploitation and analysis.
  • Familiarity with imaging standards, calibration methodologies, and quantitative image quality assessment.
  • Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image, TensorFlow, PyTorch, or equivalent frameworks.

Education:
  • The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics.

Requirements:
  • TS/SCI Full Scope Poly required

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.