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Part Time Full Stack Machine Learning Engineer Jobs in Philadelphia, PA

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

Front-End Engineer

Philadelphia, PA · On-site

$75K - $125K/yr

... full calendar year of employment (January through December). They will also be offered health ... All full time and part time employees have access to participate in the Delphinus Engineering ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

HTML Tutor

Trenton, NJ · Remote

$40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

HTML Tutor

Chester, PA · Remote

$40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation. * Strong foundation in statistics and machine learning ...

Showing results 21-40

Part Time Full Stack Machine Learning Engineer information

See Philadelphia, PA salary details

$44.9K

$136K

$192.2K

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

As of Sep 15, 2026, the average yearly pay for part time full stack machine learning engineer in Philadelphia, PA is $135,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $159,400.00 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 Philadelphia, PA?

The most popular types of Full Stack Machine Learning Engineer jobs in Philadelphia, PA are:

What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Part Time Full Stack Machine Learning Engineer jobs?

Cities near Philadelphia, PA with the most Part Time Full Stack Machine Learning Engineer job openings:

Infographic showing various Part Time Full Stack Machine Learning Engineer job openings in Philadelphia, PA as of June 2026, with employment types broken down into 36% Full Time, 61% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $135,995 per year, or $65.4 per hour.

Adjunct Faculty, Department of Electrical and Computer Engineering

Glassboro, NJ • On-site

Rowan University
Colleges, Universities, and Professional Schools • 5 - 10K employees

Part-time

Re-posted 14 days ago


Rowan University rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Adjunct Faculty, Department of Electrical and Computer Engineering
Job no: 501674
Work type: Temporary Part-Time
Location: Glassboro, New Jersey
Categories: Faculty - Henry M. Rowan College of Engineering
Adjunct Faculty Positions in All Areas of Electrical and/or Computer Engineering
If you have prior academic or industrial experience, a passion for hands-on, project-based teaching, and would like to share your knowledge and wisdom with an enthusiastic group of students and indeed shape the next generation of our nation's workforce, we want you in our classrooms and laboratories.
The Electrical and Computer Engineering Department (www.rowan.edu/ece) at Rowan University is growing, with the brand-new B.S. in Electrical Engineering Technology and M.S. in Systems Engineering programs added to our flagship B.S., M.S., and Ph.D. programs in Electrical and Computer Engineering. To support this robust growth, we seek energetic and innovative teacher-scholars as Adjunct Professors who are interested in sharing their knowledge and wisdom with our students and share our commitment to excellence in engineering education.
Our Adjunct Professors, who are typically active or retired academic or industry professionals, are an important part of the fabric of the Rowan ECE community, bringing their unique experiences and perspectives to our department. The successful candidates will be responsible for teaching innovative, project-based courses primarily in the electrical and computer engineering and electrical engineering technology programs. These courses may be core or elective, depending on the applicant's area of expertise. We welcome qualified and dedicated individuals with a background in all areas of ECE, including but not limited to:
Core topics
  • Digital and embedded systems,
  • Computer architecture,
  • Circuits, electronics, power electronics,
  • Programmable logic controllers, automation design
  • VLSI design, chip design, advanced chip manufacturing, solid-state systems
  • Control systems,
  • Signal and image processing,
  • Communication systems, including traditional, modern, and industrial communication systems
  • Electromagnetics and modern antenna systems

Electives
  • RF /microwave systems
  • Systems engineering
  • Power systems, renewable and alternative energy systems, and modern battery systems
  • Robotics
  • Machine learning / artificial intelligence
  • Cybersecurity, cyber-physical systems
  • Project management
  • Reliability and quality engineering
  • Your favorite emerging topic in any area that relates to ECE, EET, or Systems Engineering

As a department, we greatly value experiential and project-based learning, integrating emerging topics and technologies into the curriculum, and providing an outstanding, state-of-the-art array of equipment, instruments, rapid prototyping, fabrication and computational resources to support such activities. Our dedication to project-based learning is reflected in both of our ECE and EET curricula, as all our courses include lab/project components. As a result, we seek individuals who share this dedication, possess the skills and passion to develop innovative hands-on lab projects or other experiential learning activities using appropriate modern tools, and have the ability to integrate such projects/activities into the course content.
Applicants must have earned at least a Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. Individuals with industry and/or academic experience are particularly encouraged to apply. 10 years or more of relevant industry experience, along with a Bachelor's degree, may, in some cases, be used in lieu of the Master of Science degree requirement.
Effective communication skills, the capacity to collaborate with multi-disciplinary student and faculty teams, and the capability to teach in a project-based environment are essential. The position is part-time, non-tenure-track, with renewable contracts contingent upon performance (including student evaluations), departmental needs, and university and budgetary approvals. The review of applications will commence immediately and continue as new needs arise.
For full consideration, applications should include the following items:
  1. A cover letter summarizing qualifications and the applicant's interest in the position
  2. Current and detailed CV
  3. Statement of teaching interests, including the list of courses the applicant feels most qualified to teach, and teaching philosophy.
  4. Names and contact information for two professional references (an optional personal reference may also be added)
  5. Unofficial transcripts. Please note that successful candidates will be asked to submit official transcripts. Therefore, submitting an official transcript at the time of application, if available, will expedite the hiring process. Transcripts issued to the applicant are acceptable.
  6. Optionally, additional relevant documentation (such as student evaluations from former teaching engagements, examples of innovative curricular components developed by the applicant, examples of industrial design experience that may be leveraged in class, etc.) may be submitted in an Appendix as a separate file.

The application must be submitted through our online application system. https://go.rowan.edu/adjunct4RowanECE
Questions can be directed to polikar@rowan.edu, Dr. Robi Polikar, Department Head, Department of Electrical & Computer Engineering. Additional departmental information can be found at http://www.rowan.edu/ece
All positions are contingent upon budget appropriations.
Note: Candidates must be eligible to work in the United States. The University will not sponsor a visa for this position.
In compliance with The State of New Jersey's Pay Transparency Act, and in accordance with the current MOA, Rowan University adjuncts are provided with a minimum of $2,225 per credit for all courses taught, with a maximum teaching load of 8 credits per semester and 12 credits in an academic year. Courses will be assigned to instructors by College & Department on an as-needed basis.
Advertised: Jul 15 2026 Eastern Daylight Time
Applications close: Jun 30 2027 11:55 PM Eastern Daylight Time
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