ZipRecruiter

Log In

2

Machine Learning Remote Internship Jobs in Virginia

next page

Showing results 1-20

All JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Virginia

Machine Learning Remote Internship information

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

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Virginia? For Machine Learning Remote Internship jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Virginia look for? The top searched job categories for Machine Learning Remote Internship jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Remote Internship jobs? Cities in Virginia with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Virginia as of June 2026, with employment types broken down into 42% Full Time, 31% Part Time, and 27% Contract. Highlights an 100% Remote job distribution.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

NT Concepts

Chantilly, VA • On-site, Remote

Other

Posted 12 days ago

Job description

NTC OVERVIEW: We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission.

If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow.

Additionally, you will contribute to the program's source code, implementing data science techniques. Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.

If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect. Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve.

This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. Clearance: TS/SCI Clearance required. Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale.

You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.

* Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral to mission success within this computer vision platform. Qualifications: * 4+ years of relevant hands-on experience developing and implementing ML algorithms * Practical experience training and deploying Machine Learning models.

Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) * Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. * Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD * Experience building and maintaining machine learning pipelines * Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred * Practical programming and scripting skills (Python preferred) * Understanding of data structures, data modeling and software architecture.

* A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams * Experience with synthetic data generation for training and evaluation of ML Models is a plus * Experience working with customers to better optimize their ML objectives * Fast learner, analytical thinker, creative, hands-on, strong communication skills * Able to work both independently and as part of a team * Excellent problem-solving skills and attention to detail * Experience working with LLMs for problem solving and code production in a safe and responsible manner Physical Requirements: * Prolonged periods sitting at a desk and working on a computer. * Must be able to lift up to 10-15 pounds at times. #JT

Apply