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Machine Learning Part Time Jobs in New York (NOW HIRING)

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... Have training in statistical signal processing, machine learning * Be capabile to apply various ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Description Part-Time Research Scholar Biomedical Engineering New York University Biomechatronics ... Develop and evaluate models in machine learning and reinforcement learning * Publish papers in top ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying ...

Braze

Senior Lead AI Solutions Consultant

New York, NY · On-site

$130K - $195K/yr

An expert in machine learning: You have a solid grasp of machine learning, including a familiarity ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

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Machine Learning Part Time information

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What are popular job titles related to Machine Learning Part Time jobs in New York? For Machine Learning Part Time jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in New York look for? The top searched job categories for Machine Learning Part Time jobs in New York are:
What cities in New York are hiring for Machine Learning Part Time jobs? Cities in New York with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in New York as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Posted 27 days ago

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 to pursue greater human understanding, pioneering 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

Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. 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.

The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation.

Responsibilities

  • Attend all 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.

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 an area related to Machine Learning, Computer Science, Applied Mathematics, or related field.

  • 3+ years of related applied professional experience.

Preferred Skills & Experience

  • Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow.

  • Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs. 

  • Experience with deploying code on cloud platforms such as AWS, GCP, or Azure. 

  • Knowledge of Mathematics and Probability concepts used in machine learning, including

  • Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution. 

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

Apply