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Machine Learning Software Engineer Jobs in Fairfax, VA

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

Machine Learning Engineer

Washington, DC · On-site

$100 - $150/hr

For this position, we are seeking a talented individual to join AIS as a Senior Software Engineer ... Project Summary AIS is seeking a Machine Learning Engineer for an AI Engineering contract ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

You will build software with AI/ML at its core, ranging from classical statistical methods to ... software engineering and/or machine learning research experience (or equivalent experience ...

Machine Learning Engineer

Washington, DC · On-site

$77.60 - $176/hr

As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ... Ability to create software for retrieving, parsing, and processing structured and unstructured data

Showing results 41-60

Machine Learning Software Engineer information

See Fairfax, VA salary details

$64.9K

$150.8K

$210.1K

How much do machine learning software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning software engineer in Fairfax, VA is $150,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $176,800.00 per year, depending on experience, location, and employer.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but generally rank above average compared to other software engineering roles.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are popular job titles related to Machine Learning Software Engineer jobs in Fairfax, VA?

For Machine Learning Software Engineer jobs in Fairfax, VA, the most frequently searched job titles are:

Infographic showing various Machine Learning Software Engineer job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $150,794 per year, or $72.5 per hour.

Senior Machine Learning Engineer

STR

Arlington, VA

$155K - $195K/yr

Full-time

Re-posted 2 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 multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must 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 and operators use them to enable intelligence activities around the globe.

The Role

As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, onprem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.

What You'll Do:

  • Partner directly with customers, stakeholders, and end users to translate mission needs into technical requirements and iterate based on real-world feedback
  • Drive technical excellence by providing leadership and championing software engineering best practices across multidisciplinary teams
  • Architect loosely coupled systems prioritizing interpretability, maintainability, and feature growth
  • Bridge the gap between research and production by implementing novel capabilities into existing live systems
  • Engineer robust backend services, scalable APIs, and optimized database models
  • Develop polished, intuitive, and responsive user interfaces in close collaboration with UI/UX designers
  • Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge environments, including air-gapped systems
  • Build and optimize CI pipelines and manage execution runners to maintain code quality and reproducible builds
  • Contribute to the full software development lifecycle, including strategic project planning, rigorous code reviews, and comprehensive testing

Who you are:

  • Active Secret security clearance, for which U.S citizenship is needed by the U.S government
  • Enjoys working hard and seeing mission impact
  • BS degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Physics, or a related technical field
  • 6+ years of professional software engineering and/or machine learning research experience (or equivalent experience depending on degree)

Soft skills

  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to both technical and nontechnical audiences
  • Demonstrated ability to collaborate effectively within crossfunctional teams, give and receive constructive feedback, and mentor others
  • Comfortable building from partial or ambiguous requirements and iterating quickly based on user feedback and changing mission needs

Technical Skills

  • Experience developing, training, and deploying machine/statistical learning models using modern Pythonbased frameworks
  • Experience running models on NVIDIA GPUs
  • Experience containerizing and deploying software using Docker, and on cloud platform
  • Experience designing and implementing REST APIs
  • Experience designing data models and working with relational databases
  • Fluency in Python and its ecosystem
  • Proficiency in at least one systemslevel language with manual or lowlevel memory management
  • Proficiency in HTML, CSS, and JavaScript (experience with a modern frontend framework such as Svelte or React is a plus)
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization

Pay Information
Full-Time Salary Range: $155,000 - $195,000

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.