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Junior Machine Learning Engineer Jobs in Quantico, VA

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Junior Machine Learning Engineer information

See Quantico, VA salary details

$35.5K

$76K

$116K

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

As of Aug 18, 2026, the average yearly pay for junior machine learning engineer in Quantico, VA is $76,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $84,700.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning Engineer jobs in Quantico, VA?

The most popular types of Machine Learning Engineer jobs in Quantico, VA are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Quantico, VA?

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

What cities near Quantico, VA are hiring for Junior Machine Learning Engineer jobs?

Cities near Quantico, VA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Quantico, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,050 per year, or $36.6 per hour.

Machine Learning Engineer / AI Model Developer (Mid to Senior)(Secret Clearance Required) (Hybrid)

Solerity, Inc.

Fort Belvoir, VA • On-site

$138K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Job Type
Full-time
Description
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.
Solerity is seeking Mid to Senior Machine Learning Engineers and AI Model Developers to support an upcoming Federal program expected to begin in late August/September 2026. This effort focuses on developing, evaluating, and integrating machine learning models within a secure Impact Level 5 (IL5) environment supporting Controlled Unclassified Information (CUI).
This role offers the opportunity to work alongside government and technical teams to build production-ready AI/ML capabilities while establishing repeatable evaluation processes and model selection methodologies that directly support mission outcomes.
Responsibilities Include:
  • Design, develop, train, evaluate, and deploy machine learning models supporting mission objectives.
  • Collaborate with Government stakeholders to define AI/ML problems, success metrics, and evaluation criteria.
  • Develop Model Selection Briefs documenting model performance, trade studies, reproducibility artifacts, and technical recommendations.
  • Integrate Government-provided human baseline results into model evaluation and performance analysis.
  • Design and coordinate Human-in-the-Loop (HITL) baseline experiments when baseline data does not exist.
  • Support implementation and operational integration of production-ready machine learning models.
  • Collaborate with data engineers to prepare, validate, and optimize datasets for AI/ML workloads.
  • Develop backend services and APIs supporting AI-enabled applications.
  • Support cloud-native model development, deployment, and lifecycle management within secure environments.
  • Participate in architecture discussions, code reviews, testing, documentation, and quality assurance activities.
  • Work closely with Government customers and Agile development teams to deliver innovative AI solutions that meet mission requirements.
REQUIREMENTS YOU BRING:
  • Active Secret Security Clearance

Requirements
BENEFITS YOU'LL ENJOY:
1. Medical, dental and vision coverage
2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position
4. 401(k) and company-funded life insurance
5. Generous Paid Time Off (PTO)
6. Tuition and training assistance
7. Financial rewards for employee referrals.
8. Pet insurance
9. Employee discount program
EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.
APPLY TODAY!
JOB ID- 359