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Remote Algorithms Engineer Jobs in Odenton, MD (NOW HIRING)

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Experience in data mining, advanced analytical algorithms, programming, data science or software ...

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share ... Your skills and technical experience will help your clients navigate the landscape of ML algorithms ...

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Remote Algorithms Engineer information

See Odenton, MD salary details

$66.9K

$125.5K

$228.3K

How much do remote algorithms engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote algorithms engineer in Odenton, MD is $125,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote algorithms engineer?

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What is a remote algorithms engineer?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

What are the typical daily responsibilities of a remote algorithms engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.

What cities near Odenton, MD are hiring for Remote Algorithms Engineer jobs? Cities near Odenton, MD with the most Remote Algorithms Engineer job openings:

Scientific Programmer I - Algorithm Integration

Home - GAMA-1 Technologies

Silver Spring, MD • Remote

Other

Posted 20 days ago


Job description

About the Opportunity

The Scientific Programmer I - Algorithm Integration supports the integration, testing, and operational readiness of scientific algorithms and software products in a remote work environment. This role documents algorithm workflows, establishes testing processes, validates outputs, troubleshoots issues, and ensures reliable delivery of production-ready solutions.

Success in this role is demonstrated through accurate algorithm implementation, effective collaboration with Science Teams and stakeholders, and the successful transition of validated software into operational environments.