Responsibilities
Join Noblis, a mission-driven nonprofit research organization dedicated to advancing science and technology for the public good. As an AI/ML Research Intern, you'll help shape the future of trustworthy and interpretable artificial intelligence by developing and analyzing large language model (LLM) applications that integrate real-world data, tool use, and advanced reasoning capabilities.
You'll work with state-of-the-art computational infrastructure (including H100s and B200s) to explore how LLMs can be extended through frameworks and emerging protocols like Model Context Protocol (MCP) to support retrieval-augmented generation, agentic workflows, and dynamic interaction with external knowledge sources. Your contributions will directly influence how AI systems are designed, deployed, and understood across federal missions.
This is a unique opportunity to:
Prototype intelligent LLM applications that combine general-purpose models with domain-specific data and tools
Collaborate with interdisciplinary teams of researchers and engineers tackling high-impact challenges
Grow your research skills through hands-on experimentation, mentorship, and exposure to real-world AI problems
Work Arrangement: Remote during the academic year (up to 15 hours/week), followed by a 10-week in-person summer internship in Reston, VA.
Roles/Responsibilities
Prototype tool-augmented LLM workflows using LangChain and investigate emerging standards like MCP for scalable, interoperable AI applications
Conduct experiments on model behavior, interpretability, and alignment
Integrate structured and unstructured data sources into LLM pipelines using vector databases and embedding models
Collaborate with researchers to explore agentic reasoning and model transparency
Communicate findings through presentations, reports, and internal documentation
Participate in research discussions, code reviews, and sprint planning to contribute to team goals
Required Qualifications
U.S. Citizenship
Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, JAX)
Comfortable with modern software development practices (e.g., Git, testing, debugging)
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
Minimum GPA of 3.3 with expected graduation between December 2026 and May 2028
Desired Qualifications
Experience working with large neural models or LLMs
Exposure to LangChain or similar frameworks for building LLM applications
Interest in emerging standards like MCP for tool-augmented reasoning and model interoperability
Prior experience in a research lab, academic project, or internship related to AI or machine learning
Contributions to research posters, conference submissions, or technical demos (optional but encouraged)
Motivation to deepen understanding and improve transparency of AI systems through applied research
Ability to ask questions, take initiative, and thrive in a fast-paced, research-driven environment
Overview
Noblis ( and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us (
Why work at a Noblis company?
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards ( . Noblis maintains a drug-free workplace.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us ( .
EEO is the Law ( | E-Verify ( | Right to Work (
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits ( page on our Careers ( site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $23.00 - USD $38.00 /Hr.
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