Summer Research Program Intern 2027, AI & Machine Learning Researcher (Group 05-52)

Are you looking to work in a world-class AI group with over 50 years of experience developing revolutionary technology for critical national missions? We are the Artificial Intelligence Technology and Systems group at MIT Lincoln Laboratory. We have a rich history in developing machine-learning (ML) algorithms, technologies, and systems for extracting information from multimedia-based data (speech, text, image, and video). The group significantly expanded our mission set to include developing impactful ML technologies for cyber with the Nation’s top cyber organizations. We are creating counter-cognitive warfare technologies, leveraging our expertise in deepfake, persona, and graph technologies. At the forefront of basic and applied AI/ML, we shape emerging AI fields and are leading the Laboratory’s efforts in AI security and AI assurance across the DoD and Intelligence Community.

Our work stresses the importance of developing, testing, and evaluating AI/ML technologies with operationally relevant metrics and datasets. We are deeply connected to many operational communities and have substantial opportunities shoulder-to-shoulder with cyber warfighters and intelligence analysts. Through this experience, we emphasize transitioning AI/ML technologies to the Government for their use in operational environments on real, deployed, game-changing systems. Our staff members program, architect, and develop ML methods; create speech, natural language processing, multimedia, cyber, and graph algorithms; and present results at premiere conferences.

The AI Technology and Systems group is seeking motivated undergraduate and graduate students to assist with projects addressing a range of national needs with AI and machine learning. Summer intern assignments may include research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, and/or adversarial AI applied to challenging, real-world problems. The successful candidate will work in a team-oriented development environment. Learn more about what our team does here: https://www.ll.mit.edu/ai

Job Description:

This summer opportunity is open to undergraduate and graduate-level candidates, including those in the process of earning a Bachelor’s, Master’s, or Ph.D. degree in a technical field such as Electrical or Computer Engineering, Computer Science, Statistics, Mathematics or a related field.

Experience in the following is required:

• Demonstrated ability to work independently or as part of team

• Experience with a high-level programming language such as Python, R, etc.

Experience in one or more of the following is desired:

• Data analysis experience

• Experience applying machine learning techniques

• Experience with natural language processing, computer vision, and/or adversarial machine learning

• Demonstration of strong written and oral communication skills

Compensation Data

Hourly pay rates below are effective January 2026 – December 2026 and will be reviewed again for Summer 2027. Rates are based on the highest academic year or degree completed before the internship start date.

Freshman year completed: $25.00/hourSophomore year completed: $27.00/hourJunior year completed: $29.00/hour4th year of 5 year program completed, no degree conferred: $32.00/hourBachelors completed: $34.50/hourBachelors + 1, one year of graduate study completed: $36.50/hourBachelors + 2, two years of graduate study completed: $38.00/hourMS completed: $39.00/hourMS + 1, one year of graduate study completed after the MS: $41.00/hourMS + 2, two years of graduate study completed after the MS: $42.50/hourMS + 3, three years of graduate study completed after the MS: $43.50/hour

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.

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