AI​/ML Programming

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 Group 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.

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.

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.

Candidates who possess a B.S. in electrical engineering, computer science or other relevant discipline will be considered.

• Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
• Proficient programmer – comfortable writing modular code; familiar with at least one major ML library (PyTorch, Tensor Flow, etc.) and data handling libraries (Num Py, pandas, etc.).
• Hands‑on experience with rapid‑prototyping and AI frameworks – exposure to agentic/LLM‑oriented toolkits (e.g., MCP), integration with both commercial and locally‑hosted AI models.
• Software engineering best practices; version‑control, collaborative coding – basic Git workflow (branching, pull requests, code reviews) and familiarity with issue‑tracking.
• Strong problem‑solving mindset – can take a research concept, break it into implementable components, and iterate quickly based upon experimental results.
• Detail oriented, able to multi‑task, and with the ability to work autonomously given direction.
• Effective written and oral communications skills in technical environments, technical notes and documentation.
• Current TS/SCI clearance or willingness to obtain one.

Recent Graduate Hiring Range: $100,200 - $120,000
Experienced Hiring Range: $100,200 - $150,000

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.

• 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

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.