Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Responsibilities

Qualified candidates must be prepared to work with global student populations. The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.

Instructional Areas Include, But Are Not Limited To:

• Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
• Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
• Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
• Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

Qualifications

• Minimum qualifications: Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
• Demonstrated professional experience implementing AI/ML solutions in industry settings
• Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)
• Strongly Preferred: 5+ years of professional experience in AI/ML development, implementation, or strategy roles
• Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
• Experience teaching adult learners or working professionals
• Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
• Understanding of AI ethics, governance, and responsible AI practices
• Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials

Applicants should submit materials including a cover letter and vitae. Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment.

Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter. Please direct questions to John Wilder at j.wilder@northeastern.edu.

Pay

The per credit rate is $1,569.00.