AI Technology and Systems Co-Op (Winter/Spring 2027) - Group 05-52

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 32,000 - 44,000; Full time

Job summary

MIT Lincoln Laboratory's Artificial Intelligence Technology and Systems group is seeking motivated co-ops for Winter/Spring 2027 to work on AI/ML projects for national needs. Candidates must be enrolled in a college offering a formal co-op program and have experience with Python or R, ML techniques, and data analysis.

Selected interns will join a team applying state-of-the-art AI/ML to real-world problems, with opportunities to work on NLP, computer vision, cyber, and graph analytics.

Qualifications

• Enrolled in a college/university with a formal co-op program.
• Presents experience with high-level programming languages (Python, R).
• Experience with ML techniques and data analysis preferred.

Responsibilities

• Assist on AI/ML projects addressing national needs.
• Work in a team-oriented development environment on state-of-the-art algorithms.
• Contribute to research on signal processing, NLP, graph analytics, or adversarial AI.

Skills

Python

R

Data analysis

Machine learning

NLP

Computer vision

Adversarial ML

Teamwork

Independent work

Education

Bachelor's/Master's/PhD in Electrical or Computer Engineering

CS/Statistics/ Mathematics related field

Tools

Python

R

Job description

AI Technology and Systems Co-Op (Winter/Spring 2027) - 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 co-ops to assist with projects addressing a range of national needs with AI and machine learning. 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

Position Description

This opportunity is open to undergraduate and gradulate-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 related field.

Experience in the following is required:

• Demonstrated ability to work independently or as part of a 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.

Must be currently enrolled at a college or university that offers a formal co-op program and be eligible to participate in that program. Students whose schools do not offer a co-op program are not eligible for this position.

Compensation:

• Technical Co-Op: $25 - $32 per hour (based on year in school)
• Administrative Co-Op: $23 - $27 per hour (based on year in school)

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.