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Machine Learning Engineer Intern Jobs in Lusby, MD

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

Systems Engineer

Lexington Park, MD · Hybrid

$77K - $128K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Systems Engineer

Lexington Park, MD · Hybrid

$98K - $163K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Systems Engineer

Patuxent River, MD · On-site

$77K - $128K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Software Engineer

California, MD · Hybrid

$69K - $116K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Showing results 41-60

Machine Learning Engineer Intern information

See Lusby, MD salary details

$25.5K

$42.5K

$87.9K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer intern in Lusby, MD is $42,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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 cities near Lusby, MD are hiring for Machine Learning Engineer Intern jobs? Cities near Lusby, MD with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Lusby, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,548 per year, or $20.5 per hour.

Model-Based Systems Engineer with Security Clearance

BAE Systems

California, MD • On-site

$72K - $122K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense


Job description

Job Description BAE Systems is seeking a Model-Based Systems Engineer to join our team. The candidate will be responsible for championing the implementation of Agile-MBSE best practices, empowering programs across our Sector with the latest MBSE training and providing technical guidance on model development and process implementation. The Senior MBSE's expertise will be instrumental in driving our transition to a Digital Enterprise (DE), where virtual and cloud-based networks are redefining the boundaries of traditional engineering. Responsibilities will require: * Utilize knowledge of MBSE processes, practices, tools, and related modeling languages and frameworks (e.g. SysML, UML, UAF) to solve complex technical problems * Guide a program in their total MBSE development activities * Collaborate with project teams and leadership to contribute to the development of MBSE training materials and company best practices Required Education, Experience, & Skills * Must be a US citizen and possess a Secret level clearance * Bachelor's Degree in STEM field and 8+ years experience in Systems Engineering or Masters Degree in STEM field and 6+ years experience in Systems Engineering. * 5+ years of experience building models and developing modeling strategies using MBSE methodologies, tools, and best practices * Strong technical skills in MBSE, including: * Experience with MagicDraw/Cameo and associated plug-ins * Proficiency in UML, SysML, and other relevant modeling languages and frameworks * Ability to create specialized searches, and analyze problems through MBSE models * Excellent collaboration, communication, and problem-solving skills, with the ability to work effectively in a fast-paced environment and adapt to changing priorities and requirements * Ability to contribute to the development of MBSE training materials, best practices, and processes, and guide programs in their total MBSE development activities. Preferred Education, Experience, & Skills * Working knowledge of Cloud technologies and platform services, e.g. AWS, Azure, etc. * Directly built 3-5 full scale models including parametric functions and simulation execution * Experience in Agile software development methodologies and task management tools (e.g. Jira) * Experienced in Modeling, Simulation, Visualization and Analysis (MSVA) * Machine Learning and Artificial Intelligence (ML/AI) * Familiar with Government Reference Architectures (GRAs) and Autonomy solutions * Experienced working in all phases of the engineering product development lifecycle * Classroom and on-the-job teaching experience * Training material development * EW Experience Pay Information
Full-Time Salary Range: $72150 - $122655 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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