AI/ML Programming

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

Desired Skills:

• 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, TensorFlow, etc.) and data handling libraries (NumPy, 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.

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 (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

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 (Lexington, MA)

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.