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Entry Level Machine Learning Jobs in Silver Spring, MD

By Light Professional IT Services LLC

AI Intern

Hanover, MD · On-site

$15 - $20/hr

Experience with responsive software development and design principles. * Entry level understanding ... Familiarity with machine learning or data science concepts and experience with data visualization ...

84 Lumber Company

Entry Level Manager Trainee

MD · On-site

$46K - $49K/yr

Manager Trainees must complete the learning plan and course of study as outlined within the ... You may also work around machinery and airborne particles. Responsibilities * Payroll, Invoicing ...

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How much do entry level machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level machine learning in Silver Spring, MD is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $19.62 per hour, depending on experience, location, and employer.

What Are Entry Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Silver Spring, MD? The most popular types of Machine Learning jobs in Silver Spring, MD are:
What job categories do people searching Entry Level Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Entry Level Machine Learning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Entry Level Machine Learning jobs? Cities near Silver Spring, MD with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
AI Intern

AI Intern

By Light Professional IT Services LLC

Hanover, MD • On-site

$15 - $20/hr

Other

Posted 17 days ago

Job description

Company Overview

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide. 

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains.  CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.

Position Overview

We are seeking a highly motivated and detail-oriented Intern to join our team. As an Intern, you will have the opportunity to work on a cutting-edge project that involves developing a web-based interface for a scalable, cloud-native platform designed to manage and orchestrate complex AI workflows. This platform is built on top of a robust, open-source architecture used by leading organizations in the industry. Your contributions will play a crucial role in shaping the user experience and ensuring the platform's usability and accessibility.

Responsibilities
  • Collaborate with the development team to design and implement a user-friendly web-based interface for the platform.
  • Develop high-quality, responsive, and interactive components using modern web dev tech stacks.
  • Work with existing backend services to integrate capability, ensuring seamless data exchange and API interactions.
  • Participate in code reviews, contribute to the improvement of the codebase, and maintain high standards of coding quality.
  • Develop and maintain documentation for the components, ensuring that it is accurate, up-to-date, and accessible to the development team.
  • Collaborate with the design team to ensure that the front-end aligns with the company's visual identity and design principles.
  • Troubleshoot and resolve issues, working closely with the development team to resolve any technical challenges.
Required Experience/Qualifications
  • Proficiency in HTML, CSS, and JavaScript with experience in front-end development frameworks such as React or Angular.
  • Experience with responsive software development and design principles.
  • Entry level understanding of AI/ML.
  • Strong understanding of RESTful APIs and experience with API integration.
  • Excellent problem-solving skills, with the ability to troubleshoot and resolve complex front-end issues.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience with version control systems, such as Git, and familiarity with Agile development methodologies.

Required Education: Working towards a Bachelor's or Master's degree in a technical discipline such as cybersecurity, computer engineering, computer science or information technology from an accredited college or university. 

Preferred Experience/Qualifications
  • Experience with cloud-based platforms and containerization technologies, such as Docker.
  • Familiarity with machine learning or data science concepts and experience with data visualization tools.
  • Experience with testing frameworks, such as Jest or Enzyme.
Special Requirements/Security Clearance

Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a SECRET to TOP SECRET security clearance.  Security Clearance requirements will be specified in the Government's Task Order.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.

CESI is committed to principles of inclusion and equal employment opportunity.  We foster a non-discriminatory, professional work environment for all our teams.  We do not discriminate based on race, color, religion, sex, pregnancy, sexual orientation, gender identity, genetic information, national origin, age, marital status, disability, or veteran status.

Employment Type: OTHER

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