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Junior Machine Learning Engineer Jobs in Washington

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Machine Learning Engineer Role Summary: The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main ...

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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$37.9K

$81.3K

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

As of May 28, 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 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 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 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Washington? The most popular types of Machine Learning Engineer jobs in Washington are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Washington? For Junior Machine Learning Engineer jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Junior Machine Learning Engineer jobs? Cities in Washington with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Washington as of May 2026, with employment types broken down into 75% Full Time, 16% Part Time, 3% Temporary, 5% Contract, and 1% Nights. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $81,320 per year, or $39.1 per hour.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

SynergisticIT

College Park, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

2024 is almost over and we hope the Job market improves . Almost 600,000 tech employees have been laid off since 2022 and it's still ongoing. The effect of this has led hundreds of thousands of laid off Tech employees competing with existing Jobseekers.
Entry level Job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the Job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.
Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as Clients now post covid can also hire remote workers which increases even more competition for jobseekers.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
For preparing for interviews please visit https://www.synergisticit.com/interview-questions/
We are looking for the right matching candidates for our clients
Please apply via the job posting
REQUIRED SKILLS For Java /Full stack/Software Programmer
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Machine learning Positions
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow
If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates