1

Algorithm Developer Jobs in Maryland (NOW HIRING)

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 ...

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 one high-level language (e.g., Python ...

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 ...

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 ...

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 ...

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 one high-level language (e.g. Python ...

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 one high-level language (e.g. Python ...

C++ Developer

Annapolis Junction, MD · On-site

$50 - $67.50/hr

Software Engineer - All Levels Design and build real-time cloud-based processing solutions, develop advanced signal processing and geolocation algorithms, and create user-friendly interfaces and data ...

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 25, 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 engineers make $500,000?

Senior engineers in fields such as software, electrical, or aerospace engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and aerospace industries.

What does an algorithm developer do?

An algorithm developer designs, analyzes, and implements algorithms to solve specific problems or improve processes, often working with data structures and programming languages. They optimize algorithms for efficiency and accuracy, frequently using tools like Python, C++, or MATLAB, and may collaborate with data scientists or software engineers. Strong problem-solving skills and knowledge of mathematical concepts are essential in this role.

How much do algorithm developers make?

Algorithm developers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses, stock options, and benefits.

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 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.

Which 5 jobs will survive AI?

Algorithm developers are likely to continue thriving as AI advances because they design and improve AI systems, requiring specialized skills in programming, mathematics, and data analysis. Jobs that involve complex problem-solving, creativity, emotional intelligence, and human interaction—such as healthcare professionals, educators, skilled tradespeople, mental health counselors, and creative roles like writers and artists—are also expected to persist despite AI automation. These roles rely on uniquely human qualities and adaptability that AI cannot fully replicate.

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 job categories do people searching Algorithm Developer jobs in Maryland look for? The top searched job categories for Algorithm Developer jobs in Maryland are:

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

Full-time

Posted 23 days ago


Job description

We are seeking a Data Scientist proficient in Python and Spark with experience working with large scale data. You need to have a strong networking background and experience with the ETL process.

The Level 3 Data Scientist shall possess the following capabilities:

  • 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).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use 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 feature 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.
  • Requires experience with Python, Spark, and comfortability working with large scale data. Candidate must have a strong network and protocol analysis background; ETL, dataflow, and data processing experience will be beneficial.

Qualifications:

  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor'sDegree 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.
  • 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 on 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.

TS/SCI with polygraph is required.