Student Technical Assistant- AI Technology

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

The specific assignment will involve developing and evaluating techniques for improving the robustness and resilience of AI models, including techniques for detecting and handling inputs to deep learning models that fall outside the training set distribution. Candidates should have exposure to a variety of machine learning techniques. Specific coursework or experience with computer vision, natural language processing, or graph algorithms is desired, as is knowledge of Python programming and experience with the PyTorch deep learning library. Candidate will be mentored by a staff member and placed in a team to conduct research and development in the above and other related areas. Candidate will participate fully in our group’s activities, which include many educational opportunities.

For Benefits Information, click http://hrweb.mit.edu/benefits

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.

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees.  Individuals may request exemption from the vaccine requirement for medical or religious reason.

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.

Requisition ID: 39849