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Senior Algorithm Engineer Jobs in Baltimore, MD (NOW HIRING)

Senior Software Engineer

Annapolis, MD · On-site

$121K - $159K/yr

This role is ideal for a senior-level engineer who brings cloud architecture expertise , strong UX ... Implementing algorithms that interface with relational databases * Exploring and applying novel and ...

This role is ideal for a senior-level engineer who brings cloud architecture expertise , strong UX ... Implementing algorithms that interface with relational databases * Exploring and applying novel and ...

This role is ideal for a senior-level engineer who brings cloud architecture expertise , strong UX ... Implementing algorithms that interface with relational databases * Exploring and applying novel and ...

Sr Software Engineer

Hanover, MD

$121K - $160K/yr

We are seeking a Senior Software Engineer to develop, maintain, and enhance complex software ... Implement and optimize algorithms to meet strict timing, resource, and interface requirements

Showing results 41-60

Senior Algorithm Engineer information

See Baltimore, MD salary details

$59.1K

$125.7K

$182.3K

How much do senior algorithm engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior algorithm engineer in Baltimore, MD is $125,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $142,600.00 per year, depending on experience, location, and employer.

What does a senior algorithm engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What are the key skills and qualifications needed to thrive as a senior algorithm engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by senior algorithm engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

Infographic showing various Senior Algorithm Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,752 per year, or $60.5 per hour.

Sr. Software Engineer

Applied Network Solutions, Inc.

Annapolis Junction, MD • On-site

$125K - $165K/yr

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Applied Network Solutions, Inc. is a company focused on networking and cybersecurity solutions. They are seeking a Sr. Software Engineer to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain custom solutions.
Responsibilities:
• Relevant experience must be in a computer science area (i.e., theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high-performance computing.
• Experience in Endpoint and Malware Exploitation activities, strong dev skills with large software projects (Python, Rust, Java, C, C++) combined with CNO experience. Able to work with reverse engineering output for re-engineering purposes.
• Ability to work solo on all facets of software projects.
• Strong Linux Sys Admin (setup distros, manage firewalls, custom VM Builds.
• Experience with container orchestration solutions (Docker-swarm, Kubernetes).
• Experience with Infrastructure-as-Code solutions (Ansible).
• Requires innovation and rapid customized development solutions plus deployment/execution/planning/monitoring/deconfliction.
• Able to blend/obfuscate deployed tool comms and get around admin detection of actives.
Qualifications:
Required:
• Active TS/SCI clearance and Polygraph required
• Bachelor’s degree and 8 years of relevant experience or a Master’s degree plus 6 years of relevant experience or a Doctoral degree and 4 years of relevant experience. An associate’s degree plus 10 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Degree must be in Computer Science (CS). Related fields (e.g., Engineering, Mathematics) may be considered relevant if the program contains, at minimum, a concentration of courses in the following fundamental CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) or Information Systems (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a CS major.
• Relevant experience must be in a computer science area (i.e., theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high-performance computing.
• Experience in Endpoint and Malware Exploitation activities, strong dev skills with large software projects (Python, Rust, Java, C, C++) combined with CNO experience. Able to work with reverse engineering output for re-engineering purposes.
• Ability to work solo on all facets of software projects.
• Strong Linux Sys Admin (setup distros, manage firewalls, custom VM Builds.
• Experience with container orchestration solutions (Docker-swarm, Kubernetes).
• Experience with Infrastructure-as-Code solutions (Ansible).
• Requires innovation and rapid customized development solutions plus deployment/execution/planning/monitoring/deconfliction.
• Able to blend/obfuscate deployed tool comms and get around admin detection of actives.
Company:
We operate at the intersection of network engineering and cybersecurity, providing secure, scalable, and high-performing architectures for our customers. Founded in 1999, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.