1

Algorithm Developer Jobs in Maryland (NOW HIRING)

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Senior Software Developer

Annapolis Junction, MD · On-site

$55.75 - $73.50/hr

Senior Software Engineer Are you ready to work on cutting-edge advancements in space domain ... Develop Novel Algorithms: Contribute to cutting-edge development programs by creating analytics ...

Using distributed computing technologies and machine learning algorithms we can deliver streaming ... Are comfortable with occasional x86/x64/ARM reverse engineering * Have experience performing ...

Using distributed computing technologies and machine learning algorithms we can deliver streaming ... Are comfortable with occasional x86/x64/ARM reverse engineering * Have experience performing ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Senior Software Developer

Annapolis Junction, MD · On-site

$55.75 - $73.50/hr

Develop Novel Algorithms: Contribute to cutting-edge development programs by creating analytics ... What you will do As a Senior Software Engineer , you'll: * Analyze Requirements: Derive software ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Develop or implement algorithms to meet or exceed system performance and functional standards ... engineers; analyze systems flow, data usage and work processes; and investigate problem areas

next page

Showing results 1-20

Algorithm Developer information

See Maryland salary details

$32

$76

$100

How much do algorithm developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for algorithm developer 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 Does an Algorithm Developer Do?

The job duties of an algorithm developer revolve around researching, writing, and performance testing algorithms. As an algorithm developer, your responsibilities include working to implement your algorithms and then to analyze and modify them as needed. Generally, algorithms use data from a system to generate actions, processes, or reports, so with each algorithm you build, you must first identify the goals and then work to achieve specific results. In this career, you may collaborate with a team to create theories and then perform research and tests until you have designed an efficient algorithm.

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

To thrive as an Algorithm Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid grasp of data structures and algorithms, and typically a degree in computer science or a related field. Familiarity with version control systems (like Git), algorithm analysis tools, and sometimes knowledge of specialized libraries (e.g., NumPy, TensorFlow) is expected. Analytical thinking, problem-solving, and effective communication are vital soft skills for designing efficient solutions and collaborating with teams. These skills ensure the creation of robust, optimized algorithms that meet technical requirements and business goals.

What are some common challenges Algorithm Developers face when transitioning from academia to industry roles?

Algorithm Developers transitioning from academia to industry often encounter challenges such as adapting to faster-paced project timelines and prioritizing practical, scalable solutions over theoretical elegance. In industry, collaboration with cross-functional teams—like software engineers and product managers—is essential, requiring strong communication and teamwork skills. Additionally, there is a greater emphasis on writing production-quality, well-documented code and aligning algorithmic work with business objectives. Learning to balance innovation with deliverable deadlines is a key part of succeeding in these roles.

What do algorithm developers do?

Algorithm developers design, analyze, and implement algorithms to solve specific problems or improve system performance. They often work with programming languages like Python or C++, utilize data structures, and test their algorithms to ensure efficiency and accuracy in applications such as machine learning, data analysis, or software development.
What job categories do people searching Algorithm Developer jobs in Maryland look for? The top searched job categories for Algorithm Developer jobs in Maryland are:
Infographic showing various Algorithm Developer job openings in Maryland as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $158,454 per year, or $76.2 per hour.

Data Scientist 3 with Security Clearance

GRVTY

Annapolis, MD • On-site

Other

Posted 24 days ago


Job description

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have : * Bachelor's Degree with 10 years of relevant experience * Associates degree with 12 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g.

data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI w/ poly What Would Be Nice to Have: * Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets.

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. #LI-SM1