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Machine Learning Software Engineer Jobs in Fairfax, VA

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Strong understanding of data structures, algorithms, software engineering fundamentals, and distributed systems concepts. * Bachelor's degree in Computer Science, Machine Learning, Artificial ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

In this role, you will develop and optimize advanced machine learning solutions supporting ... As a Software Engineer II, you'll have the opportunity to work with cutting-edge AI technologies ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

In this role, you will develop and optimize advanced machine learning solutions supporting ... As a Software Engineer II, you'll have the opportunity to work with cutting-edge AI technologies ...

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 ...

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Machine Learning Software Engineer information

See Fairfax, VA salary details

$65K

$151K

$210.4K

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

As of Jul 3, 2026, the average yearly pay for machine learning software engineer in Fairfax, VA is $151,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $177,100.00 per year, depending on experience, location, and employer.

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 in the Machine Learning Software Engineer position, and why are they important?

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 the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

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:
What job categories do people searching Machine Learning Software Engineer jobs in Fairfax, VA look for? The top searched job categories for Machine Learning Software Engineer jobs in Fairfax, VA are:

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer (On-Call)

Staffed4U

Chantilly, VA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Be an early applicant


Job description

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer (On Call)
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: On-Call / As-Needed Support

Position Overview

The selected candidate will serve as a senior technical authority providing on-call support for the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of sixteen (16) years of relevant experience; OR
  • Twenty-one (21) years of related professional experience in lieu of a degree
  • Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph
  • Demonstrated experience leading complex technical and operational initiatives
  • Ability to provide technical support in an on-call or surge support capacity
Duties and Responsibilities
  • Design, develop, test, and maintain enterprise software and AI/ML systems
  • Analyze software and system requirements to develop technical solutions supporting operational objectives
  • Evaluate and improve software performance, scalability, reliability, and maintainability
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment
  • Modify and enhance existing software applications to improve functionality and resolve technical issues
  • Analyze interfaces between hardware and software systems and define performance requirements
  • Support installation, configuration, testing, and maintenance of software systems and applications
  • Develop and maintain applications within cloud-based environments, including modernization of legacy systems
  • Estimate software development schedules, technical risks, and resource requirements
  • Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes
  • Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics
  • Provide technical leadership, mentoring, and guidance to engineering and development teams
  • Support troubleshooting, root cause analysis, and resolution of highly complex technical issues
Required Knowledge, Skills, and Abilities
  • Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis
  • Experience developing applications in cloud and enterprise environments
  • Ability to analyze user requirements and translate them into scalable technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, organizational, and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to lead technical teams and collaborate across multidisciplinary environments
  • Ability to respond effectively to dynamic operational requirements in an on-call capacity
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails
  • Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner
  • Source code editors and software development environments
  • Desktop computing systems, high-end servers, and application server technologies
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.