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Machine Learning Software Engineer Intern Jobs in College Park, MD

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in College Park, MD

Machine Learning Software Engineer Intern information

See College Park, MD salary details

$13

$25

$38

How much do machine learning software engineer intern jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for machine learning software engineer intern in College Park, MD is $25.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.51 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
Machine Learning Software Engineer Intern jobs near you

Machine Learning Software Engineer

Shield Consulting Solutions, Inc.

Annapolis Junction, MD • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Shield Consulting Solutions, Inc. is seeking a Machine Learning Software Engineer with a TS/SCI clearance. The role requires extensive experience in software engineering, particularly in AI/ML development, and offers an excellent benefits package.
Responsibilities:
• Active TS/SCI w/Polygraph REQUIRED
• Please do not apply if you do not currently possess this level of clearance.
• 14 years of experience as a software engineer
• AI/ML development or integration experience
• Terraform experience with AWS
• C++, Python and/or Golang
• Experience with writing high-performance / GPU-enabled applications
• Experience with large-scale streaming data analytic systems
Qualifications:
Required:
• Active TS/SCI w/Polygraph REQUIRED
• 14 years of experience as a software engineer
• Bachelor’s degree in a technical discipline
• + 4 additional years of experience as a software engineer may be substituted for a degree
• AI/ML development or integration experience
• Terraform experience with AWS
• C++, Python and/or Golang
• Experience with writing high-performance / GPU-enabled applications
• Experience with large-scale streaming data analytic systems
Company:
Shield Consulting Solutions Incorporated is a veteran-owned small government contractor that was formed in 2002 with the idea that a small company can provide affordable and agile capabilities to our clients. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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