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Internship Deep Learning Jobs in Washington (NOW HIRING)

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... deep learning, behavioral analysis, causal analysis * Strong data visualization and data ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... deep learning, behavioral analysis, causal analysis * Strong data visualization and data ...

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... learning and deep learning frameworks. • Strong foundation in statistical analysis, data ...

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... Demonstrated experience with machine learning and deep learning frameworks. Strong foundation in ...

Collect, clean, and prepare data, build and train models (traditional ML and deep learning/LLMs ... Delivery or strong internship/fresh graduate performance on technical interview tests.

Collect, clean, and prepare data, build and train models (traditional ML and deep learning/LLMs ... Delivery or strong internship/fresh graduate performance on technical interview tests.

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Internship Deep Learning information

What is an internship in deep learning?

An internship in deep learning is a temporary position, typically offered to students or recent graduates, where individuals gain practical experience working on projects involving neural networks, machine learning algorithms, and AI applications. Interns often assist with data preparation, model training, evaluation, and sometimes contribute to research or development of deep learning solutions. This role helps interns develop technical skills, gain exposure to real-world problems, and build a foundation for a career in artificial intelligence or related fields.

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

AspectInternship Deep LearningData Science Intern
Required SkillsMachine learning, neural networks, programming (Python, TensorFlow)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch-focused, AI/ML teams, tech companiesBusiness analytics, data analysis teams, various industries
Common Employer UsageTech firms, AI startups, research labsConsulting firms, tech companies, finance, healthcare

Internship Deep Learning roles focus on developing neural networks and AI models, often in research or tech environments. Data Science Internships involve analyzing data, creating insights, and supporting decision-making across diverse industries. Both internships require programming skills, but Deep Learning emphasizes AI-specific knowledge, while Data Science covers broader data analysis skills.

What types of projects or tasks can I expect to work on during a Deep Learning internship?

As a Deep Learning intern, you can typically expect to work on a variety of hands-on projects such as data preprocessing, model development, and performance evaluation. You may contribute to building and testing neural networks, experimenting with architectures like CNNs or RNNs, and assisting in preparing datasets for training. Collaboration with data scientists, engineers, and other interns is common, providing opportunities to learn best practices in model deployment and documentation. This role offers a valuable chance to gain practical experience in applying theoretical knowledge to real-world problems.

What are the key skills and qualifications needed to thrive as an Internship Deep Learning, and why are they important?

To thrive in a Deep Learning Internship, you need a strong foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving skills, curiosity, and effective communication help interns stand out when working on complex projects and collaborating with teams. These skills and qualities are crucial for efficiently developing, testing, and explaining deep learning models in a fast-evolving field.
What are the most commonly searched types of Deep Learning jobs in Washington? The most popular types of Deep Learning jobs in Washington are:
What cities in Washington are hiring for Internship Deep Learning jobs? Cities in Washington with the most Internship Deep Learning job openings:
Infographic showing various Internship Deep Learning job openings in Washington as of July 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

4402 Software Development Intern with Security Clearance

Procession Systems

West Mclean, VA • On-site

$15.25 - $20.25/hr

Other

Re-posted 26 days ago


Job description

OVERVIEW: We are seeking a motivated Software Development Intern with a strong interest in Artificial Intelligence and Machine Learning to join our team. This internship offers hands-on experience working on real-world AI/ML projects, collaborating with experienced engineers and data scientists to design, build, and deploy deep intelligent systems. GENERAL DUTIES: * Assist in the design, development, and implementation of AI/ML models and applications * Write clean, efficient, and maintainable code in languages such as Python, Java, or C++ * Work with large datasets to preprocess, analyze, and extract meaningful insights * Support the training, testing, and evaluation of machine learning models * Collaborate with cross-functional teams to integrate ML solutions into production systems * Participate in code review, debugging, and performance optimization * Document processes, methodologies, and technical findings REQUIRED QUALIFICATIONS: * Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field * Basic understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation) * Proficiency in at least one programming language (preferably Python) * Familiarity with common ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong problem-solving skills and attention to detail * Ability to work independently and as part of a team DESIRED QUALIFICATIONS: * Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib) * Knowledge of deep learning, natural language processing, or computer vision * Exposure to cloud platforms (e.g., AWS, Azure, or GCP) * Familiarity with version control systems (e.g., Git) * Previous project or coursework in AI/ML CLEARANCE: * U.S. Citizenship required

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

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