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Machine Learning Engineer Intern Jobs in Maryland

Machine Learning Engineer

California, MD ยท On-site

$120 - $180/hr

Role Description This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven ...

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 ...

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Machine Learning Engineer Intern information

See Maryland salary details

$24.7K

$41.3K

$85.4K

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

As of Aug 15, 2026, the average yearly pay for machine learning engineer intern in Maryland is $41,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

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

The most popular types of Machine Learning Engineer jobs in Maryland are:

What job categories do people searching Machine Learning Engineer Intern jobs in Maryland look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Engineer Intern jobs?

Cities in Maryland with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,329 per year, or $19.9 per hour.

Machine Learning Engineer

Socket.dev

California, MD โ€ข On-site

$120 - $180/hr

Other

Posted 7 days ago


Job description

Role Description

This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven decision-making. In this position, you will work with data, algorithms, and software systems to build intelligent applications and improve existing processes.


As a Machine Learning Engineer, you will collaborate with data scientists, software engineers, and business stakeholders to transform requirements into practical machine learning solutions. You will assist in preparing data, training models, evaluating performance, and deploying machine learning applications into production environments.


The role involves monitoring model performance, optimizing workflows, and ensuring that machine learning systems operate efficiently and reliably. You will also support testing, troubleshooting, and continuous improvement efforts to enhance the accuracy and effectiveness of AI-driven solutions.


This position is ideal for candidates who enjoy working with both software development and data-driven technologies. It focuses on the practical implementation and deployment of machine learning systems rather than advanced academic research.


The Machine Learning Engineer plays a key role in enabling intelligent automation, predictive analytics, and scalable AI solutions across the organization.


Key Responsibilities

  • Develop, test, and deploy machine learning models and applications

  • Prepare, clean, and process data for model development

  • Evaluate model performance and optimize results

  • Support the deployment and maintenance of machine learning systems

  • Collaborate with cross-functional teams to define use cases and requirements

  • Monitor model accuracy, reliability, and performance

  • Troubleshoot and resolve model or data-related issues

  • Document machine learning workflows, processes, and solutions

  • Improve automation and predictive capabilities through machine learning

  • Stay updated on machine learning technologies, tools, and best practices


Qualifications

  • Basic to intermediate understanding of machine learning concepts and techniques

  • Familiarity with Python or other programming languages used in data and AI projects

  • Understanding of data processing, model training, and evaluation workflows

  • Knowledge of machine learning libraries or frameworks is a plus

  • Strong analytical and problem-solving skills

  • Ability to work with structured and unstructured data

  • Attention to detail and a structured approach to development

  • Good communication and teamwork skills

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