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Part Time Full Stack Machine Learning Engineer Jobs in San Diego, CA

company1037

P/T Steward

Solana Beach, CA · On-site

$18 - $20/hr

Stacks clean dishes, transports them to the cook's line, and stores them appropriately, with a ... Changes dishwater regularly, ensuring optimal functioning of the dish machine. * Hand washes pots ...

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All JobsFull Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer Jobs in San Diego, CA

Part Time Full Stack Machine Learning Engineer information

See San Diego, CA salary details

$47.2K

$143.1K

$202.3K

How much do part time full stack machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time full stack machine learning engineer in San Diego, CA is $143,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in San Diego, CA?

The most popular types of Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA?

For Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA look for?

The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Part Time Full Stack Machine Learning Engineer jobs?

Cities near San Diego, CA with the most Part Time Full Stack Machine Learning Engineer job openings:

Part Time Full Stack Machine Learning Engineer jobs near you
Infographic showing various Part Time Full Stack Machine Learning Engineer job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,087 per year, or $68.8 per hour.

Part-time Faculty, Electrical and Computer Engineering

National University

San Diego, CA • On-site

$26.63 - $28.89/hr

Part-time

Posted 13 days ago

Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: Electrical and Computer Engineering
Location: Hybrid - Spectrum Center, San Diego, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data, and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Electrical and Computer Engineering. The successful candidate will have a demonstrated record of, or potential for excellence in, the following: teaching in their field, a commitment to serving the university's diverse adult student body, and related scholarship and/or researchThis position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Essential Job Duties:
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:
  • A Master's degree and relevant professional experience is required.
  • A Ph.D. in electrical engineering, computer engineering, computer science or a related field from a regionally accredited university is preferred.
  • Industry experience in the field of embedded systems, VLSI, and microelectronics is preferred.
  • Online teaching experience highly preferred.
  • Experience in Higher Education highly preferred.
  • Curriculum development experience preferred.

For full consideration, interested candidates should provide the following.
  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body

#LI-Hybrid
Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.

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