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Machine Learning Summer Internship Jobs in Silver Spring, MD

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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All JobsMachine Learning Summer JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Silver Spring, MD

Machine Learning Summer Internship information

See Silver Spring, MD salary details

$26.4K

$44K

$91K

How much do machine learning summer internship jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning summer internship in Silver Spring, MD is $44,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.
What are popular job titles related to Machine Learning Summer Internship jobs in Silver Spring, MD? For Machine Learning Summer Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer Internship jobs in Silver Spring, MD look for? The top searched job categories for Machine Learning Summer Internship jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Machine Learning Summer Internship jobs? Cities near Silver Spring, MD with the most Machine Learning Summer Internship job openings:
Machine Learning Summer Internship jobs near you

Lead Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$115K - $152K/yr

Contractor

Posted 26 days ago

Job description

Role: Lead Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
  • Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Be a trusted advisor to the Government to ensure all third party vendors platforms and code delivered is “fit for purpose”
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
  • Use programming languages like Python, Scala, or Java.
  • Abilty to mentor and coach junior resources with delivery tasks.
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 5-8 years of experience in a ML/AI development and/or lead role