Accelerated Learning Generative AI

MIT Lincoln Laboratory • Lexington, MA • 8h ago

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of foreign language learning, integrated wearable systems, human-machine teaming, neurocognitive analytics, and medical technologies. In the foreign language learning domain, we emphasize the application of generative AI to enable personalized, adaptive, and scalable foreign language training, including the development, fine-tuning, and evaluation of large language models for instructional use. Our group is highly interdisciplinary and includes scientific experts in linguistics, physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, mathematics, and physics. Our core technical competencies include system-level modeling, advanced sensing and signal processing, generative and discriminative machine learning, hardware and software prototyping, and human data collection in laboratory and field environments.

Job Description

As an Associate Staff in the Accelerated Learning domain, you will work with your team to address key stakeholder needs and further the Group's mission by:

Developing individualized learning pipelines based on deep understanding of language learning concepts and generative AI-driven personalization strategies

Designing and implementing Generative AI systems to support adaptive tutoring, automated feedback, content generation, and learner assessment

Curating, annotating, and managing text corpora (e.g., learner responses, instructional content, proficiency-aligned corpora) to support LLM training, fine-tuning, and evaluation

Creating novel AI-based tools to infer individuals' cognitive states with generative models to adapt learning experiences in near-real time

Developing software to deploy laboratory-developed GenAI-enabled systems into real-world environments where training and education occurs

Designing and executing human subject studies to validate AI- and GenAI-driven learning paradigms, including their effectiveness, robustness, and ethical use

Requirements

A Masters' degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics, psychology, neuroscience, or related fields, or 2+ years of equivalent experience.

Strong background in AI: Experience with Python and modern AI methods, including Generative AI and foundation models (e.g., large language models, feedback, and content generation), Responsible AI, and machine learning (e.g., model tuning and training, PyTorch, deep learning, transformers).

Experience applying these methods to language, learning, or human-centered AI problems is strongly preferred.

Recent Graduate Hiring Range: [[gradRange]]

Experienced Hiring Range: [[experiencedRange]]

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 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: [[id]]

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