AI​/ML Programmer

AI/ML Programmer

Date:
Apr 28, 2026

Location:

Lexington, MA, US

Company: MIT Lincoln Laboratory

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.

• 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.

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.

• 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, Tensor Flow, etc.), data‑science stacks (Num Py, pandas, Sci Py, 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…