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Part Time Computer Vision Engineer Jobs in Seattle, WA

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Requirements: * Bachelor's degree in Computer Science, Data Engineering, or related field (or ... Medical, prescription, vision, dental, long-term care and life insurance plans are offered to ...

Mechanical Engineer/Designer

Seattle, WA · On-site

$83K - $113K/yr

... specific computer applications. You will participate in the evaluation, recommendation, and ... part-time employees (working at least 20 hours per week) have access to medical, dental, and vision ...

OEM Field Service Engineer

Kent, WA · On-site

$82K - $92K/yr

Associates degree in computer science or engineering. * Minimum 3 years field experience ... Specific vision abilities required by this job include close vision and ability to adjust focus.

Roadway Design Engineer

Seattle, WA · Hybrid

$100K - $130K/yr

Eligibility for some of the benefits outlined below is based on full-time work status; part-time ... Wellness - Medical, dental and vision insurance, employee assistance program, fitness and wellness ...

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Showing results 1-20

Part Time Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do part time computer vision engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for part time computer vision engineer in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Computer Vision Engineer vs Part Time Machine Learning Engineer?

AspectPart Time Computer Vision EngineerPart Time Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, startups, research institutions working on predictive models and data analysis
Employer & Industry UsageUsed in industries like automotive, healthcare, security for visual data processingApplied across finance, healthcare, e-commerce for data-driven decision making

While both roles involve machine learning skills, a Part Time Computer Vision Engineer specializes in visual data analysis and image processing, whereas a Part Time Machine Learning Engineer focuses on developing algorithms across various data types. The choice depends on your expertise in visual technologies versus broader machine learning applications.

What are the key skills and qualifications needed to thrive as a Part Time Computer Vision Engineer, and why are they important?

To thrive as a Part Time Computer Vision Engineer, you need a strong background in computer science, mathematics, and experience with image processing and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, collaboration, and effective time management are crucial soft skills for balancing part-time responsibilities and project goals. These skills and qualities are important to deliver innovative, high-quality solutions efficiently in a dynamic and technically demanding field.

What are part-time computer vision engineers?

Part-time computer vision engineers are professionals who specialize in designing and implementing computer vision algorithms and systems, but work fewer hours than a full-time schedule, often on a contract or project basis. Their responsibilities typically include developing models for image and video analysis, object detection, and related tasks using machine learning and deep learning techniques. These engineers often collaborate with teams to integrate vision systems into products, troubleshoot issues, and optimize performance. Working part-time allows flexibility, making this role suitable for students, freelancers, or those seeking work-life balance.

What are some common challenges faced by part-time computer vision engineers, and how can they be addressed?

Part-time computer vision engineers often face challenges such as balancing project deadlines with limited working hours and staying updated with rapidly evolving technologies. Effective communication with full-time team members is essential to ensure alignment on project goals and deliverables. Utilizing collaborative tools, maintaining clear documentation, and attending regular meetings can help bridge gaps in communication and workflow. Additionally, setting realistic timelines and prioritizing tasks can enable part-time engineers to maximize their impact and stay productive within their schedule.
What are the most commonly searched types of Computer Vision Engineer jobs in Seattle, WA? The most popular types of Computer Vision Engineer jobs in Seattle, WA are:
What are popular job titles related to Part Time Computer Vision Engineer jobs in Seattle, WA? For Part Time Computer Vision Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Vision Engineer jobs in Seattle, WA look for? The top searched job categories for Part Time Computer Vision Engineer jobs in Seattle, WA are:
Infographic showing various Part Time Computer Vision Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 60% Full Time, 35% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $138,288 per year, or $66.5 per hour.
Lecturer Part-Time Temporary, Electrical Engineering - recruitment pool

Lecturer Part-Time Temporary, Electrical Engineering - recruitment pool

University of Washington

Bothell, WA • On-site

$7.0K/mo

Full-time, Part-time, Temporary

Posted 24 days ago


University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

178th of 539 rated colleges and universities


Job description

Description
The Engineering & Mathematics Department of the School of Science, Technology, Engineering & Mathematics (STEM) at the University of Washington Bothell (UWB) invites applications from qualified candidates for short-term, temporary instructional positions that may be needed at various points throughout the 2025-26 academic year (Sept 16-Jun 15). The successful candidate(s) would be appointed as Lecturer Part-Time Temporary, a non-tenure track, non-voting eligible faculty title.
We seek candidates with demonstrated expertise in signal processing and related areas (e.g., digital communications, statistical signal processing). Successful candidates will have a strong record of teaching effectiveness, a commitment to inclusive and student-centered pedagogy, and the ability to work effectively with students from diverse backgrounds.
The successful candidate(s) will have an FTE commensurate with the assigned workload. For context, one 5-credit course is equivalent to 33.33% FTE and one lab is 16.67% FTE. The full-time (100%) base salary is $7,080 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. This full-time monthly rate is then prorated based on assigned FTE for the duration of the 3-month quarter.
Appointments are made on a quarterly (3-month) basis that are renewable on a quarterly basis, and are contingent upon instructional needs, part time faculty reappointment guidelines, and Department approval. Appointment service dates align with the annual academic calendar. Autumn: September 16-December 15; Winter: December 16-March 15; and Spring: March 16-June 15.
The cumulative instructional need currently for the 2025-26 Academic Year is as follows:
  • Winter 2026: B EE 511 Signal Processing I

Occasionally, unanticipated changes occur, which would require us to fill courses that are not on this list. For more information on the courses listed above, please reference the relevant section:
  • B EE Course Descriptions

The Electrical Engineering (EE) program is part of the Department of Engineering & Mathematics, which is housed in the School of STEM. In addition to Electrical Engineering, the Department has programs in Mechanical Engineering, Computer Engineering, and Mathematics. The program offers a BS in Electrical Engineering, a BS in Computer Engineering (jointly run with the Department of Computing and Software Systems (CSS), an MS in Electrical and Computer Engineering, and a Graduate Certificate in Electrical and Computer Engineering Foundation.
The Electrical Engineering program is comprised of full-time and part-time faculty with vast academic and industrial experience. The EE faculty have expertise in a broad range of areas, including power systems, signal processing, communication systems, power electronics, embedded systems, biomedical devices, design of organic cells, etc. The program has well-equipped labs and facilities, including a clean room, to conduct teaching and research.
The School of STEM is the largest school at UW Bothell, and we are a school committed to attracting diverse faculty and staff who create an exceptional student experience in support of our core values of Collaboration, Opportunities, Responsibility, and Engagement. Our faculty members are dynamic educators who engage in innovative, evidence-based pedagogies. Nearly every School of STEM faculty member engages undergraduate and master's students as research collaborators, and we pride ourselves on our community engaged teaching and research to realize our vision to be an indispensable partner in the region. We offer twenty-three undergraduate and graduate degrees and eight minors across four Departments (Biological Sciences, Computing and Software Systems, Engineering & Mathematics, Physical Sciences). The School is housed in several buildings on a vibrant campus collocated on a restored 100-acre wetland with an active salmon stream, including the 74,000 square-foot Discovery Hall teaching and laboratory facility, and our new 80,000 square-foot STEM building, Innovation Hall - the first shared academic building between a community college and university in the country.
Located in the heart of the Puget Sound region, the University of Washington Bothell is one of the most dynamic public universities in the state of Washington. UW Bothell is a student-centered campus known for engaging students through classes, team projects, and research in which students connect what they learn or create in the classroom with the broader community. This is achieved through close relationships with faculty members as teachers and mentors, and staff dedicated to student success. The academic work of the campus focuses on cross-disciplinary research, connected learning, and community engagement, and prepares students for leadership in the state of Washington and beyond. UW Bothell is dedicated to creating a community that advances equity, social justice, affirmation, and excellence.
The campus offers more than 55 undergraduate and graduate degree programs in five schools. Current enrollment is approximately 6,000 students. More than 90% of undergraduates are from Washington State, approximately 40% are first-generation college attendees, and more than half are students of color. The University values hiring faculty and staff who have demonstrated experience and ability to work successfully with diverse student populations and who can contribute to a campus culture that promotes equity among colleagues. Diversity and inclusion are core values at UW Bothell.
Qualifications
Qualifications:
  • PhD in Electrical Engineering, or foreign equivalent, by the date of hire.

Positive factors for consideration include, but are not limited to:
  • Demonstrated expertise in signal processing, digital communications, or related fields.
  • Experience teaching at the university level, preferably in signal processing or communications courses.
  • Expertise in working with diverse student populations.
  • Demonstrated commitment to innovative and effective pedagogy.
  • Demonstrated ability to teach courses in area of specialization.
  • A commitment to teaching excellence.

Application Instructions
Please submit the following application materials.
  • Curriculum vitae
  • Cover letter, including:
    • Areas of teaching interests, knowledge, and/or experience (e.g., courses and/or specialty). Please identify any courses listed in this ad that you can and would like to teach. Please list the quarters when you would be available to teach.
    • Your scholarly and pedagogical qualifications for working in the School of STEM
    • Your experience in teaching university/college environment with either undergraduate or graduate students
  • The School of STEM is committed to creating a community where individuals from all backgrounds and experiences have equal opportunities to participate, succeed, and feel a sense of belonging. We request that each applicant write a statement about their experiences in helping to create a welcoming and inclusive environment for research, teaching, mentoring and/or service. The statement should detail the applicant's experience or plans for supporting the success of students from all backgrounds.
  • A list of a minimum of one professional reference including their contact information.

Complete applications received by December 1, 2025 will receive priority consideration. Thereafter, applications will be considered on a rolling basis throughout the 2025-2026 academic year as curricular needs arise.
If you have a question about the details of this search/position, or about interfolio, please contact the search committee at uwbems@uw.edu.
The University of Washington is an equal opportunity employer and is committed to building a culturally diverse faculty and staff, including individuals with disabilities. To request disability accommodation in the application process, please contact the Disability Services Office at 206-543-6450 or dso@uw.edu.