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Entry Level Computer Science Artificial Intelligence Jobs in Maryland

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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Entry Level Computer Science Artificial Intelligence information

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

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

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Maryland? For Entry Level Computer Science Artificial Intelligence jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Maryland look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Maryland are:
What cities in Maryland are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities in Maryland with the most Entry Level Computer Science Artificial Intelligence job openings:
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Research Scientist / Computer Systems Researcher - Mid to Experienced Level (Maryland)

National Security Agency/Central Security Service

Fort George G Meade, MD • On-site, Remote

$105K - $192K/yr

Full-time

Posted 15 days ago


Job description

Summary
NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations; join our team of experts!
Learn more about this agency
Duties
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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics. Our experts generalize mission problems, advance the scientific state-of-the-art to solve problems, and work with other NSA organizations to get solutions in front of mission users and decision-makers.
Our researchers also have the opportunity to collaborate regularly with the scientific community, academia, industry, and other government laboratories; publish papers on unclassified aspects of our work in scientific journals and at conferences; transfer NSA technology to the marketplace through open source software releases and public-private partnerships; serve as faculty members at local universities; and participate in university and K-12 STEM outreach activities across the country.
The ideal candidate must be able to demonstrate sound judgement, strong technical skills and the ability to work effectively in a dynamic team environment, as well as independently. Excellent oral and written communication skills, and a proven track record of analyzing and solving technical problems with innovative solutions are also preferred. The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
As a Research Scientist, other responsibilities may include:
- Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
- Training, testing, and deploying machine learning models
- Applying software engineering principles to design and/or develop software applications
- Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
- Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
- Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
- Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
- Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
- Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
- Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
- Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
- Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
**Please upload a copy of your transcripts from all schools attended, prior to applying for this position. Unofficial transcripts are fine at this stage. Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.**
Requirements
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Conditions of employment
  • Employment is contingent upon successful completion of a security background investigation and polygraph.

Qualifications
The qualifications listed are the minimum acceptable to be considered for the position.
Degree must be in Computer Science (CS) or Computer Engineering (CE). Other STEM fields (e.g., Engineering, Mathematics, or Information Systems (IS)) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics).
Relevant experience must be in one or more of the following: computer systems research, simulation/model development and prototyping, software design, programming, computational science, algorithm analysis and design, reverse engineering, designing/developing computer or information systems, including engineering hardware or software, machine learning, artificial intelligence, visualization, human-computer interaction, data science, or high performance computing.
FULL PERFORMANCE
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
SENIOR
Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Education
This job does not have an education qualification requirement.
Additional information
Pay, Benefits, & Work Schedule
Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
Salary Range: $105,262 - $192,764 (Full Performance, Senior)
Salary range varies by location, work level, and relevant experience to the position.
Training will be provided based on the selectee's needs and experience.
Benefits: NSA offers a comprehensive benefits package.
Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).
DCIPS Trial Period:
If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service.
Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.
If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.