Instructors (Part-Time), Professional and Continuing Education - Machine Learning

Company : University of Washington
Location : Seattle, WA, 98127
Posted Date : 15 September 2025
Job Details
The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research, and community service.
UW Continuum College expands the reach of the University of Washington by delivering educational programs that meet the needs of learners at all phases of their lives. We're focused on removing obstacles to relevant educational opportunities by addressing geographic, financial, length of commitment, and time constraints, increasing access to knowledge for more people. As a diverse community that values inclusivity and collaboration, we foster a respectful, supportive workplace where innovation comes to life. By looking ahead and experimenting with new approaches, we're creating new educational opportunities to help people thrive in a world of change.
UW Continuum College (UWC2) has a range of outstanding opportunities for part-time instructors in the Professional & Continuing Education (PCE) Machine Learning certificate program. This program trains experienced programmers and data scientists for Machine Learning engineering and scientist roles. Applicants will be considered for courses occurring June 2025 through December 2025.
Instructors serve a key role in certificate programs, engaging with students, serving as subject matter experts, presenting learning content, and assessing whether learners have achieved course competencies. PCE students consistently say that the instructor is the single most important element of their course.
The pay range for these instructor positions is $1,800 - $2,200 per CEU* per course, commensurate with experience and qualifications. *Continuing Education Credits (CEU) information for individual courses may be found on our website. Each course in the Machine Learning certificate program is 3 CEUs.
Professional and Continuing Education Instructors...
- Teach to a set curriculum plan with clear learning outcomes and competencies
- Customize content, lesson plan, and lesson slides, while aligning with learning objectives set, for the course they are scheduled to teach; Instructors are encouraged to personalize the curriculum to their teaching style and experience in the Machine Learning program under the guidance of the program manager
- Prepare a course syllabus in advance of the course start date (templates provided)
- Ensure that lesson plans and presentation materials for the full course are relevant and current
- Adapt instructional techniques based on feedback from students and the Program Manager, and implement sound pedagogical practices
- Complete instructor onboarding, relevant learning technology training, and other training as required
- Observe FERPA, HIPAA, and other privacy laws and policies
- Participate in meetings with program team as requested for program integrity and improvement.
MINIMUM QUALIFICATIONS
- Five years, or more, of professional experience as a machine learning scientist, or equivalent
- Excellent interpersonal, oral, and written communication skills.
- Willingness to teach with minimal supervision while maintaining high standards of professionalism, punctuality, and content relevance for diverse adult students.
- Legal authorization to work and receive compensation in the United States. This position is not eligible for visa sponsorship.
- Experience in a variety of organizations or teams showing range within industry and implementations.
To apply to teach in the Machine Learning certificate program, please submit the following:
- Cover letter describing your areas of expertise related to this program. Applications that do not contain this information will not be considered. Applicants for the Machine Learning courses, if not clear from your current title, outline how your role is equivalent to a Machine Learning scientist. Applicants for the Deep Learning course should speak to their Deep Learning experience.
- Resume or CV
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