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Junior Machine Learning Engineer Jobs in Washington

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Junior Machine Learning Engineer information

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$37.9K

$81.3K

$124K

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

As of Sep 15, 2026, the average yearly pay for junior machine learning engineer in Washington is $81,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $90,600.00 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.
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Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $81,320 per year, or $39.1 per hour.

Machine Learning Engineer

Fort Belvoir, VA • On-site

Nastech Global
See more jobs at Nastech Globalexternal

Contractor

Re-posted 19 days ago

Job description

Job Title:  Machine Learning Engineer
Location: Fort Belvoir, VA (5 days onsite)
Duration:  Long-Term Contract
Citizenship: US Citizen with active TS/SCI w CI Poly
 
Top Required Skills
AWS, ML/AI Development, Python or Scala, or Java, TS/SCI w CI Poly willing to work onsite in Ft. Belvoir
 
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enable state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Be a trusted advisor to the Government to ensure all third-party vendors' platforms and code delivered are “fit for purpose”
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
Use programming languages like Python, Scala, or Java.
Ability to mentor and coach junior resources with delivery tasks.
Self-motivated, with the ability to work effectively both independently and in a team environment
 
Thanks and Regards,
Murali Sharma
202-828-3494
Murali@NasTechglobal.com