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

New York University

Research Scholar

New York, NY · On-site

$27.77/hr

Responsibilities include coding and running machine learning experiments, analyzing and ... This is a part time appointment and would require a work schedule of approximately 27 hours per ...

New York University

Research Associate

New York, NY · On-site

$26.37/hr

Description PART-TIME RESEARCH ASSOCIATE New York University Tandon School of Engineering The ... Working on research projects at the intersection of health and machine learning methods, including ...

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in New York, NY

Machine Learning Part Time information

See New York, NY salary details

$27.9K

$46.6K

$96.3K

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

As of Aug 29, 2026, the average yearly pay for machine learning part time in New York, NY is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Machine Learning jobs in New York, NY?

The most popular types of Machine Learning jobs in New York, NY are:

What are popular job titles related to Machine Learning Part Time jobs in New York, NY?

For Machine Learning Part Time jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in New York, NY look for?

The top searched job categories for Machine Learning Part Time jobs in New York, NY are:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)

Columbia University

New York, NY

$2.0K - $3.0K/wk

Part-time

Re-posted 3 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 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 School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I. 

  • The world is generating data at an even faster pace via business transactions, online searches, social media activities, and various sensors. The ready availability of vast amounts of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques focus on this course, guiding students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition.

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 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 data science, applied analytics, statistics, or another quantitative discipline.
    • Proficient in Python programming.
    • 3+ years of professional experience in a role involving applied analytics.

    Preferred Skills & Experience

    • Knowledge of theories and practical application of machine learning.
    • University teaching experience.
    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