Per credit rate: $1,569.00; bonus/equity: not spec...
Part-time, onsite
Terminal degree in computer science or related field
Proficiency in python and modern ai/ml frameworks
Experience implementing ai solutions in industry
Northeastern University is seeking a part-time lecturer in Applied Machine Intelligence for its Arlington campus. The role involves teaching courses related to artificial intelligence and machine learning within a graduate program, requiring both a terminal degree and relevant professional experience
Job Summary
The College of Professional Studies at Northeastern University invites applications for a part-time faculty lecturer in Applied Machine Intelligence.
The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Successful candidates will be dynamic scholars committed to fostering belonging and building pedagogy that reflects this commitment.
Matching Summary
Match Score: 85
Northeastern University is seeking a part-time lecturer in Applied Machine Intelligence for its Arlington campus. The role involves teaching courses related to artificial intelligence and machine learning within a graduate program, requiring both a terminal degree and relevant professional experience.
Salary
Per credit rate: $1,569.00; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement
Skills & Requirements
Must-have
Terminal degree in Computer Science or related field
Proficiency in Python and modern AI/ML frameworks
Experience implementing AI solutions in industry
Nice-to-have
5+ years of professional AI/ML development experience
History of successful graduate-level teaching
Expertise in generative AI or NLP domains
Key Requirements
Ph.D. in Computer Science, AI, ML, Data Science, or aligned discipline
Valid US work authorization without visa sponsorship
Demonstrated professional experience in AI/ML implementation
Work Rights
Must maintain valid US work authorization without sponsorship