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Part Time Deep Learning Engineer Jobs (NOW HIRING)

Reddit

Machine Learning Engineer

New York, NY · On-site

$223K - $260K/yr

... deep neural networks within high dimensional information system. Work on large-scale data systems ... Part-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY. Minimum ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

Experience with project work in deep learning, computer vision, neural networks, NLP, or signal ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ... This is a part-time, work-study-based opportunity for active students in master's and PhD programs.

Ancestry

Machine Learning Engineer, Co-op

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ... This is a part-time, work-study-based opportunity for active students in master's and PhD programs.

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Point Pleasant, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Harrisburg, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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Part Time Deep Learning Engineer information

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$115.9K

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How much do part time deep learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for part time deep learning engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.
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Part Time Deep Learning Engineer jobs near you
Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University

New York, NY

$2.0K - $3.0K/wk

Part-time

Posted yesterday

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. 
An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

Responsibilities

  • Attend all on-campus class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries
  • Conduct office hours.
Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses).
  • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
  • Hands-on experience with deep learning projects and data manipulation.
  • 3 years of professional experience in a role related to applied analytics

Preferred Skills & Experience

  • Strong verbal and written skills for explaining concepts clearly.
  • University teaching experience in related subjects
Additional Information

Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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