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Algorithm Engineer Jobs in Ashburn, VA (NOW HIRING)

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Auria

Staff Engineer

Reston, VA · On-site

$130K - $170K/yr

BCubed Engineering, an Auria company, is looking to hire a Staff Engineer. This position can be ... Algorithm Prototyping: Design, model, and simulate advanced signal processing algorithms (e.g ...

TalentRemedy

Technical Program Manager

Herndon, VA · On-site +1

$132K - $171K/yr

You will partner closely with software engineers, algorithm developers, data/ML teams, DevOps, and product managers to plan and orchestrate programs that build, scale, and improve our signal ...

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in Ashburn, VA

Algorithm Engineer information

See Ashburn, VA salary details

$60.8K

$114.2K

$207.6K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in Ashburn, VA is $114,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $135,500.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

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

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
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Algorithm Engineer jobs near you
Lead Software Engineer / Back-End Developer

Lead Software Engineer / Back-End Developer

STR

Arlington, VA

$180K - $220K/yr

Other

Posted 13 days ago

Job description

About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span data analysis, deep learning, and statistical techniques across social media, text, time series, geospatial, and imagery data. We operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe.

The Role:

As a Lead Software Engineer / Back-End Developer, you will join a cross-functional team tasked with implementing software solutions to challenging, high-impact problems. You will create infrastructure to process, store, and expose large and varied datasets that include imagery, structured and unstructured text, geospatial data, and more. You will work alongside algorithm developers and end users to deploy advanced analytic components on various compute platforms, including both on-prem and cloud environments. You will build, demonstrate, and transition systems to partner organizations.

Who you are:

  • Active Top Secret security clearance, for which U.S citizenship is needed by the U.S government
  • Degree in Software Engineering, Computer Engineering, Computer Science, or other engineering or scientific field with 2-8+ relevant experience depending on the degree
  • 5 years of experience in developing, deploying, or maintaining enterprise software solutions
  • Software team leadership experience, especially for distributed cross-functional teams
  • Strong problem solving, debugging, and analytical skills
  • Knowledge of Mobile Operating System (iOS/Android) and mobile based applications
  • Expertise in OOP languages, Linux command line tools, and shell scripting

Even Better

  • Active TS/SCI security clearance
  • Reverse engineering experience
  • Experience in designing/developing platform components: Kubernetes, containers, etc.
  • AWS tools proficiency including AWS security, Route 53, EC2 deployments, and other deployment tools
  • Experience deploying ETL processes and/or machine learning models into production
  • Familiarity with statistical and/or machine learning models
  • Programming skills in CUDA
  • Understanding of telecommunication networks

Pay Information
Full-Time Salary Range: $180,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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