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Internship Graph Theory Jobs (NOW HIRING)

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

... and graph analytics. * Publish and present research at premier conferences. * Internship ... theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

... and graph analytics. * Publish and present research at premier conferences. * Internship ... theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

... and graph analytics. * Publish and present research at premier conferences. * Internship ... theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance ...

NEC Labs America

DSSS - Research Intern 2026

Princeton, NJ · On-site

$6K - $8K/mo

Our research combines both experimental and theoretical approaches, spanning diverse domains in ... NEC offers its interns paid company holidays, access to fitness areas as well as travel and housing ...

Pathos

ML Engineer (Intern)

New York, NY · On-site

$30 - $60/hr

This is not theoretical. We're well-capitalized and have the leadership to build a generational ... Knowledge Graph (KG) & Retrieval Augmented Generation (RAG) * Evaluation of reasoning capabilities ...

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Internship Graph Theory information

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How much do internship graph theory jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for internship graph theory in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What is an Internship in Graph Theory?

An Internship in Graph Theory is a temporary position, typically for students or recent graduates, where individuals work on projects involving the study of graphs—mathematical structures used to model pairwise relations between objects. Interns may assist in research, data analysis, algorithm development, or software implementation under the guidance of experienced mathematicians or computer scientists. This experience helps interns apply theoretical knowledge to real-world problems, gain practical skills, and explore career paths in mathematics, computer science, or related fields.

What are the key skills and qualifications needed to thrive as an intern in Graph Theory, and why are they important?

To thrive as a Graph Theory intern, you need a strong background in discrete mathematics, algorithms, and problem-solving, usually supported by ongoing or completed studies in mathematics, computer science, or a related field. Familiarity with programming languages like Python or C++, mathematical software such as MATLAB, and tools like NetworkX or SageMath is often expected. Analytical thinking, attention to detail, and effective communication help interns collaborate on research and convey complex concepts clearly. These skills are vital for tackling challenging theoretical problems and contributing to innovative projects in academic or industry settings.

What types of projects and collaborations can I expect during a Graph Theory internship?

During a Graph Theory internship, you can expect to work on projects involving the analysis and modeling of networks, such as social networks, transportation systems, or data structures. Interns often collaborate with data scientists, software engineers, or academic researchers to develop algorithms, optimize network flows, or visualize complex graphs. The work is typically a mix of independent research and teamwork, with regular meetings to discuss progress and challenges. This environment provides a valuable opportunity to gain hands-on experience with real-world datasets and to contribute to ongoing research or product development.

What is the difference between Internship Graph Theory vs Data Analyst Intern?

AspectInternship Graph TheoryData Analyst Intern
Required CredentialsBasic understanding of graph algorithms, computer science fundamentalsBasic statistics, Excel, data visualization skills
Work EnvironmentAcademic, research-focused, often in tech or university labsCorporate, business, or tech companies analyzing data sets
Industry UsageResearch, academia, specialized tech fieldsBusiness, marketing, finance, tech industries
Common Search/ComparisonInternship Graph Theory vs Data Analyst Intern

Internship Graph Theory typically involves research and theoretical work in graph algorithms, often in academic or research settings. In contrast, Data Analyst Internships focus on analyzing data to support business decisions in corporate environments. Both roles require foundational technical skills but differ in application and industry focus.

More about Internship Graph Theory jobs
What cities are hiring for Internship Graph Theory jobs? Cities with the most Internship Graph Theory job openings:
What are the most commonly searched types of Graph Theory jobs? The most popular types of Graph Theory jobs are:
What states have the most Internship Graph Theory jobs? States with the most job openings for Internship Graph Theory jobs include:
What job categories do people searching Internship Graph Theory jobs look for? The top searched job categories for Internship Graph Theory jobs are:
Internship Graph Theory jobs near you
Infographic showing various Internship Graph Theory job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 51% Full Time, 40% Part Time, and 1% Contract. Highlights an 54% Physical, 4% Hybrid, and 42% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.
AI/ML Programmer

AI/ML Programmer

MIT Lincoln Laboratory

Lexington, MA

$29.75 - $40.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions.

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data-including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation's top cyber organizations.

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory's efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE).

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems.

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods.
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics.
  • Publish and present research at premier conferences.
  • Internship Opportunities

The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include:

  • Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI.
  • Applying innovative methods to challenging, real-world problems.
  • Working in a collaborative, team-oriented development environment.

This is an opportunity to apply your skills to some of the most important technical challenges of our time-while learning from and contributing to a world-class research community. 

Qualifications

Candidates who possess an M.S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of relevant experience will be considered.

Desired Skills:

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Advanced AI/ML knowledge - solid graduate-level coursework or equivalent work experience in machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques. Ability to read, evaluate, and implement state-of-the-art research papers.
  • Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.), data-science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented toolkits (e.g., MCP).
  • Operating in a rapid research-to-prototype pipeline - demonstrated ability to take a cutting-edge research concept, design an experimental plan, implement a functional prototype, and iterate based on quantitative evaluation. Experience with benchmark datasets and realistic metrics (e.g. latency, accuracy, robustness) is a plus.
  • Software-engineering best practices - strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Problem-solving & analytical mindset - can decompose novel, ill-defined problems, propose multiple solution paths, and select the most promising approach based on empirical evidence.
  • Detail-oriented, able to multi-task, with the ability to work autonomously with minimal supervision.
  • Effective written and oral communication skills in technical environments, technical reports, internal wiki pages; delivers clear demo presentations and briefings to both technical audience and senior mission stakeholders.
  • Current TS/SCI clearance or willingness to obtain one.

Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42941 

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