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Junior Machine Learning Jobs in Virginia (NOW HIRING)

Maximus

Junior Biostatistician

VA · On-site +1

... and machine learning. The position requires strong data engineering capabilities, including the ... The Junior Biostatistician applies data quality checks, repeatable transformation logic, and basic ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

M9 Solutions

Jr. Federal AI Engineer

Fort Belvoir, VA · On-site

$100K - $115K/yr

M9 Solutions is seeking a Jr. Federal AI Engineer to work hybrid remote/onsite in support of a ... Support the creation of analytics and machine learning models through all phases of development ...

M9 Solutions

Jr. Federal AI Engineer

Fort Belvoir, VA · On-site

$100K - $115K/yr

M9 Solutions is seeking a Jr. Federal AI Engineer to work hybrid remote/onsite in support of a ... Support the creation of analytics and machine learning models through all phases of development ...

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Junior Machine Learning information

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How much do junior machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for junior machine learning in Virginia is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $32.88 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Virginia?

The most popular types of Machine Learning jobs in Virginia are:

What are popular job titles related to Junior Machine Learning jobs in Virginia?

For Junior Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Virginia look for?

The top searched job categories for Junior Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Junior Machine Learning jobs?

Cities in Virginia with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,588 per year, or $26.7 per hour.

Senior Machine Learning Research Scientist - Secure AI Lab

Carnegie Mellon University

Arlington, VA • On-site

$113K - $144K/yr

Full-time

Re-posted 18 days ago

Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

35th of 631 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a leading research institution, and they are seeking a Senior Machine Learning Research Scientist for their Secure AI Lab. The role focuses on conducting research into the vulnerabilities of AI and ML algorithms, developing defenses against these vulnerabilities, and collaborating with interdisciplinary teams to create operational capabilities for government customers.
Responsibilities:
• Conduct and lead novel research in applied machine learning and artificial intelligence.
• Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
• Work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.
• Actively participate on teams of software developers, researchers, designers, and technical leads. Build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
• Contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.
Qualifications:
Required:
• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience
• Willingness to work onsite at an SEI facility 5 days per week.
• Be able to obtain and maintain an active Department of War security clearance.
• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required
• A track record of conducting research and applying scientific methods to solve difficult problems
• Experience leading research projects in novel areas with limited previous work to build upon
• Ability to work with leadership to plan, develop, and deliver an overall research strategy
• Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms
• Proficiency in writing funding proposals or pitching ideas for new research projects
• Ample experience with publishing written or technical artifacts showcasing your work
• Strong collaboration skills for working with colleagues and sponsors
• Willingness to guide and mentor junior team members
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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