> Markdown version of [/jobs/ext/4317536-paul-g-allen-school-of-computer-science-engineering](https://www.wearedevelopers.com/jobs/ext/4317536-paul-g-allen-school-of-computer-science-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Paul G. Allen School of Computer Science & Engineering - **Company:** Interfolio Inc - **Location:** Seattle, WA, United States - **Salary:** $135,600.0 - $174,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, Computer Engineering, Machine Learning, Natural Language Processing, Information Technology - **Published:** October 5, 2026 - **Apply:** https://www.nettemps.com/us/en/WC510F314FD7CBEB14A.ntap ## About the Role The Paul G Allen School of Computer Science and Engineering at the University of Washington invites applications for an AI-focused teaching faculty position at the rank of Assistant or Associate. This is a Full time position with a nine-month academic, 3-year appointment beginning September 16, 2027. We seek applicants who demonstrate commitment to excellence in teaching and service in a diverse and inclusive academic community., Positive factors for consideration include, but are not limited to, a PhD in a relevant area, previous experience training professional engineers, interfacing with industry partners, developing new programs, and developing pedagogical or evaluative tools., Applicants for this teaching faculty position must meet the following minimum qualifications: Master's degree or foreign equivalent in computer science, engineering, or a related discipline. Demonstrated record of excellence in teachingas an instructor or teaching assistant. Technical expertise in artificial intelligence and/or machine learning as applied to engineering, such as design, optimization, control, and/or modeling of engineering systems. Benefits Information ## Description In the College of Engineering, teach courses in the AI, machine learning, and computing curriculum (eg, Foundations of AI/ML for Engineering, Physics-Informed Machine Learning, Applied Optimization, AI & ML Capstone) with an emphasis on students' success and mentoring teaching assistants. In the Allen School, teach undergraduate and graduate courses in AI as appropriate based on the candidate's expertise and interest (eg, machine learning and other sub-fields of AI such as computer vision, natural language processing). Teaching Allen School courses beyond AI may also be a possibility. Contribute to the Allen School, College of Engineering, and University through leadership and service roles. Contribute to educational scholarship through course development, engagement with educational communities, and possibly research. Promote an inclusive community through teaching, service, and possibly scholarship.