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Entry Level Artificial Intelligence Jobs in Reston, VA

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Entry Level Artificial Intelligence information

What is the difference between Entry Level Artificial Intelligence vs Entry Level Data Scientist?

AspectEntry Level Artificial IntelligenceEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Common Search IntentEntry level AI roles, AI job requirementsEntry level data science roles, data analysis jobs

Entry Level Artificial Intelligence roles focus on developing AI models and algorithms, often requiring programming and machine learning knowledge. Entry Level Data Scientist positions involve analyzing data and creating predictive models, with overlapping skills but different focus areas. Both roles are common in tech-driven industries and require similar educational backgrounds, but they serve distinct functions within organizations.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data analyst, machine learning intern, and junior AI developer. These positions often require basic programming skills, knowledge of machine learning frameworks, and familiarity with data management tools. They provide opportunities to gain hands-on experience in AI development and deployment.

Which job to go for a beginner in AI?

Entry-level roles in AI typically include positions such as AI intern, junior data analyst, or machine learning assistant. These jobs often require foundational knowledge of programming languages like Python, basic understanding of algorithms, and familiarity with tools such as TensorFlow or scikit-learn. Gaining relevant certifications or completing online courses can also improve chances for these roles.

What is the most entry-level AI job?

An entry-level AI job typically refers to roles such as AI intern, research assistant, or junior data analyst, which require foundational knowledge of programming languages like Python and basic understanding of machine learning concepts. These positions often involve supporting AI projects, data preprocessing, and learning on the job with supervision. Certifications in AI or data science can be beneficial for candidates seeking these roles.

What are entry level artificial intelligence jobs?

Entry level artificial intelligence jobs are positions designed for individuals starting their careers in AI. These roles typically involve supporting data scientists, machine learning engineers, or AI researchers by collecting and preparing data, building simple models, and conducting basic analyses. They may also include roles like AI research assistant, junior machine learning engineer, or AI software developer. Entry-level positions usually require foundational knowledge of programming languages such as Python, familiarity with AI concepts, and sometimes basic experience with machine learning libraries. These jobs provide an opportunity to learn on the job and grow into more specialized AI roles over time.

What are some common challenges entry-level professionals face when starting a career in artificial intelligence, and how can they overcome them?

Entry-level professionals in artificial intelligence often encounter challenges such as bridging the gap between theoretical knowledge and real-world application, keeping up with the fast pace of technological advancements, and collaborating effectively within multidisciplinary teams. To overcome these hurdles, it's helpful to seek mentorship, participate in open-source projects, and continuously update your skills through online courses and workshops. Building strong communication skills will also help when working with colleagues from different backgrounds, such as data engineers, software developers, and business stakeholders.

What are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence professional, and why are they important?

To thrive as an Entry Level Artificial Intelligence professional, you need a solid understanding of programming languages (such as Python), basic statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using data processing libraries are typically required. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret data-driven results. These skills are crucial for building reliable AI solutions and contributing effectively to rapidly evolving projects.

What Are the Qualifications to Get an Entry-Level Artificial Intelligence Job?

The qualifications necessary for an entry-level artificial intelligence job depend on the exact job that you choose to pursue. You typically need a bachelor’s degree to start in this field. Common degree paths involve various types of math, physics, robotics, cognitive science therapy, graphical modeling, engineering, Bayesian networking, and computer programming languages, science, and coding. Several skills are also helpful, such as being able to work well with others, strong communication skills, the ability to translate highly technical information, and excellent problem-solving abilities.

How do I start an AI career with no experience?

Starting an entry-level AI career involves gaining foundational knowledge in programming languages like Python, understanding basic machine learning concepts, and working on projects or online courses to build a portfolio. Earning certifications such as those from Coursera or edX can also demonstrate your skills to employers. Internships or entry-level roles in data analysis or software development can provide practical experience and industry exposure.
More about Entry Level Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Reston, VA? The most popular types of Artificial Intelligence jobs in Reston, VA are:
What are popular job titles related to Entry Level Artificial Intelligence jobs in Reston, VA? For Entry Level Artificial Intelligence jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Entry Level Artificial Intelligence jobs? Cities near Reston, VA with the most Entry Level Artificial Intelligence job openings:
Entry Level Artificial Intelligence jobs near you
Infographic showing various Entry Level Artificial Intelligence job openings in Reston, VA as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 100% In-person job distribution.

Software Engineer, Intelligent Systems

Virginia Tech Academy of Data Science

Arlington, VA • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
Virginia Tech National Security Institute (VTNSI) is a national leader in advancing security and resilience through innovative research. They are seeking an entry-level/junior software developer to work on artificial intelligence and systems engineering projects, contributing to both research and development efforts.
Responsibilities:
• Software development tasks across 2-3 programs primarily focused on artificial intelligence
• Learn about the underlying technical concepts of assigned programs (through both independent learning as well as through program mentors)
• Participation in weekly program meetings and periodic sponsor meetings (requiring oral and/or written updates)
• Thorough test, evaluation, and documentation of developed software
• (As desired) Opportunities to participate in research paper writing and business development proposal writing
Qualifications:
Required:
• A Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related STEM discipline to the position summary.
• Strong communication skills.
• Proficiency in software development and familiarity with best coding practices in one or more of the following programming languages: C++, Python.
• Familiarity with Continuous Integration/Continuous Development (CI/CD) processes for code development, test and evaluation.
• Familiarity with version control tools (e.g., Git).
• Demonstrated ability and willingness to work as a member of a development team in executing sponsored projects.
• Given the nature of the research and requirements from federal sponsors, the candidate must be a U.S. citizen.
• Demonstrated ability and willingness to document and define test cases for developed software.
• Ability to obtain and maintain a security clearance.
Preferred:
• U.S. Security Clearance at the Secret level or higher.
• Proficiency in Linux and Docker - Familiarity with GPU-based code development (e.g., CUDA).
• Familiarity with AI/ML development concepts such as RL, RAG, MCP, Agentic AI, multi-modal learning, etc.
• Familiarity with AI/ML development tools such as PyTorch, Keras, Tensorflow, LangChain, etc.
• Proficiency in developing web and/or non-web based graphical user interfaces (GUIs) utilizing frameworks such as React, Vue, Qt, etc.
Company:
Virginia Tech's Academy of Data Science was launched in 2020, in part to help meet the growing demand for workers who possess the skills to analyze data. Founded in , the company is headquartered in Blacksburg, VA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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