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

University of Washington: Academic Personnel & Faculty: Continuum College

Location

Seattle, WA

Open Date

Apr 30, 2026

Description

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. 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 . Applicants will be considered for courses occurring October 2026 through September 2027.

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 $2,000 per CEU* per course, commensurate with experience and qualifications. *Continuing Education Credits (CEU) information for individual courses may be found on our website . Courses in the Machine Learning certificate program are 3 CEUs or 3.6 for the Deep Learning course

Professional and Continuing Education Instructors...

• Teach to a curriculum plan with clear learning outcomes and competencies as outlined by the program manager.
• Customize course content 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 work experience in the program.
• Teach all class sessions at the scheduled time.
• Provide a responsive and supportive environment to student questions and concerns and provide feedback in a timely manner. This is achieved in combination with the instructional assistant and program manager, as necessary.
• Complete instructor onboarding, relevant learning technology training, and other training as required.
• Observe FERPA, HIPAA, and other privacy laws and policies.
• Instructors are part of a team, including other instructors, program manager, IAs and advisors who play their role in maintaining the quality and relevance of the program. Instructors may be requested to participate in such activities outside of teaching and training. Instructors are encouraged to assist in promoting the program to increase awareness as they can do per their discretion and comfort.

PCE courses are generally 10 weeks in duration and align with the UW academic quarter calendar. The Machine Learning certificate program is delivered entirely online using Zoom. Classes meet in the evenings, 6-9pm PST, once per week. Information on PCE certificate program may be found at .

UWC2 Extension Lecturers / Instructors are Academic Staff, not faculty. These are part‑time, temporary positions.

Qualifications

MINIMUM QUALIFICATIONS

• Five years of professional experience as a machine learning scientist, or equivalent.
• Ph.D. in a relevant field or where machine learning was a core component of curriculum and dissertation.
• Excellent interpersonal, oral, and written communication skills.
• Ability and desire to successfully work with individuals from various cultural and socioeconomic backgrounds.
• Willingness to teach with minimal supervision while maintaining high standards of professionalism, punctuality, and content relevance for adult students from different backgrounds.
• Legal authorization to work and receive compensation in the United States. This position is not eligible for visa sponsorship.

DESIRED QUALIFICATIONS

• Experience in a variety of organizations or teams showing range within industry and implementations.
• Prior mentoring experience, particularly with professional learners.
• Describe your areas of expertise related to this program. For the ML courses, if not clear from your current title, outline how your role is equivalent to a ML scientist. For the DL course, speak to your DL experience. Applications that do not contain this information will not be considered.
• Resume or CV

Applications are accepted on an ongoing basis and review of applications will occur intermittently dependent on program needs. Applications received by Aug 15th, 2026, will receive priority consideration.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .

Benefits Information

The University is committed to providing excellent benefits to our faculty. For a summary of available benefits, please see UWHR benefits information .

Privacy Notice

Your application materials may be used for employment consideration and shared in accordance with UW’s Privacy Policy.

Disability Services

The University of Washington is committed to providing access and reasonable accommodation in its services, programs, activities, education, and employment for individuals with disabilities. To request disability accommodation in the application process, contact the Disability Services Office at View phone number on apply.j-vers.com or View email address on apply.j-vers.com.