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How much do machine learning instructor jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning instructor in New York is $65,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $71,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Instructor job?

A Machine Learning Instructor is a professional who teaches students or professionals the fundamentals and advanced concepts of machine learning. They design course materials, deliver lectures, create exercises, and guide learners in applying ML techniques to real-world problems. Instructors may work in universities, coding bootcamps, or corporate training programs. Strong expertise in ML algorithms, programming (Python, TensorFlow, PyTorch), and data science is typically required.

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

To thrive as a Machine Learning Instructor, you need a strong background in mathematics, statistics, programming (often in Python), and practical experience with ML frameworks, typically supported by an advanced degree in a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and relevant teaching certifications or online course development platforms is highly valued. Outstanding communication, patience, and the ability to break down complex concepts make someone stand out in this position. These skills are vital for effectively teaching diverse learners and keeping up with the rapidly evolving field of machine learning.

What are the typical daily responsibilities of a Machine Learning Instructor?

Machine Learning Instructors usually spend their days preparing and delivering lectures or workshops, creating course materials, and guiding students through hands-on coding exercises and projects. They are also responsible for assessing student progress, providing feedback, and staying updated on the latest machine learning trends to incorporate into their teaching. Collaboration with other instructors and curriculum developers is common to ensure content quality and cohesion. This role often involves mentoring students, answering questions, and helping troubleshoot technical issues, contributing to a dynamic and engaging learning environment.

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Machine Learning Instructor jobs near you
Infographic showing various Machine Learning Instructor job openings in New York as of June 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $65,161 per year, or $31.3 per hour.
Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health

Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health

New York University

New York, NY • On-site

$222.27/hr

Full-time

Posted 28 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

95th of 535 rated colleges and universities

Job description

Description
Position: Adjunct Instructor
Course: GPH-GU 2338/3338 Machine Learning in Public Health (Syllabus)
Department: NYU School of Global Public Health - Biostatistics
Supervisor: Dr. Rebecca Betensky
Employment Dates: Spring 2026
This course will provide students with a comprehensive understanding of machine learning and its applications in public health and biomedicine. Topics covered include the data generating process, model selection and evaluation, generalized linear models, various supervised and unsupervised machine learning algorithms (such as support vector machines, decision trees, random forests, neural networks, and k-means), and ethical considerations in machine learning.
Students will learn how to implement machine learning methods effectively, including the assessment of assumptions about the data-generating process, the creation of relevant features, the handling of missing data, and the reduction of bias. In addition to gaining familiarity with the potential power of machine learning in public health, students will also explore the specific challenges and limitations inherent to these applications. By the end of the course, students will have a solid foundation in machine learning and its potential for advancing public health research and practice.
Qualifications
Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.
Application Instructions
If interested, please upload a CV and cover letter via Interfolio.
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $222.27. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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