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Machine Learning Teaching Jobs in New York (NOW HIRING)

New York University

Research Associate

New York, NY · On-site

$2.8K - $3.8K/wk

... teaching and learning. The Department of Finance and Risk Engineering (FRE) at NYU Tandon School of ... The successful candidate will have a demonstrated background in machine learning research as ...

New York University

Research Scholar

New York, NY · On-site

$27.77/hr

... excellence in teaching and learning. Tandon fosters student and faculty innovation and ... Responsibilities include coding and running machine learning experiments, analyzing and ...

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Machine Learning Teaching information

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$25.2K

$58.5K

$108.9K

How much do machine learning teaching jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning teaching in New York is $58,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $65,600.00 per year, depending on experience, location, and employer.

What is machine learning teaching?

A Machine Learning Teaching job involves educating students or professionals about machine learning concepts, algorithms, and applications. Responsibilities may include designing curricula, delivering lectures, conducting hands-on coding sessions, and mentoring learners. These roles exist in universities, online education platforms, and corporate training programs. Strong knowledge of machine learning frameworks, programming (e.g., Python, TensorFlow, PyTorch), and effective teaching skills are essential for success.

What are the typical responsibilities of machine learning teaching?

Machine Learning Teaching professionals are responsible for designing and delivering lessons on core machine learning principles, guiding students through practical projects, and assessing their progress. They may create course materials, conduct lectures and labs, and offer mentorship to students on capstone or research projects. Collaboration with other faculty or industry experts is common for curriculum updates and staying current with advancements in the field. Additionally, they often provide feedback, support diverse learners, and help students connect theory with real-world applications, ensuring a comprehensive educational experience.

What are the key skills and qualifications needed to thrive in machine learning teaching?

To thrive in a Machine Learning Teaching role, you need in-depth knowledge of machine learning concepts, proficiency with programming languages like Python or R, and an advanced degree in computer science or a related field. Experience with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and familiarity with curriculum development and teaching technologies are typically required. Strong communication, patience, and the ability to clearly explain complex topics make educators especially effective. These skills ensure students gain practical expertise and solid theoretical foundations, preparing them for real-world machine learning careers.

What are the most commonly searched types of Machine Learning Teaching jobs in New York?

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

What are popular job titles related to Machine Learning Teaching jobs in New York?

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

What job categories do people searching Machine Learning Teaching jobs in New York look for?

The top searched job categories for Machine Learning Teaching jobs in New York are:

Infographic showing various Machine Learning Teaching job openings in New York as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $58,504 per year, or $28.1 per hour.

Senior Faculty Fellow for AI Curriculum and Teaching

Manhattan, NY • On-site

Touro University New York
See more jobs at Touro University New Yorkexternal

$75K/yr

Part-time

Posted 7 days ago

Touro University rating

5.9

Company rating: 5.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Overview

The Senior Faculty Fellow for AI Curriculum and Teaching provides leadership in the design, development, implementation, and continuous improvement of GST curricula and courses, with a particular focus on artificial intelligence and related emerging technologies. The Fellow works closely with the Dean, program chairs, and faculty to create academically rigorous, market-relevant, and instructionally effective learning experiences that support GST's strategic goals and academic quality standards.The Fellow serves as a lead developer of new courses, specializations, certificates, continuing education, and degree concentrations, while also contributing to curriculum modernization across GST programs.The fellow teaches selected courses and advises on instructional quality and emerging trends in AI education. The Fellow also supports the development of new academic initiatives and curricular innovations that strengthen GST's competitive position and student outcomes.

Responsibilities

Curriculum and Program Development

  • Design and develop new courses, certificates, specializations, and academic programs.
  • Revise and enhance existing curricula to ensure academic rigor, relevance, and alignment with workforce needs.
  • Develop learning outcomes, course sequences, assessments, and instructional materials.
  • Assist with academic proposals, program approvals, and curriculum review processes.

Teaching

  • Teach assigned courses.
  • Develop and maintain high-quality course materials and assessments.
  • Support continuous improvement of student learning and instructional effectiveness.

Academic Innovation

  • Identify opportunities for new academic offerings and curricular enhancements.
  • Conduct market and competitive analyses to inform program development.
  • Advise leadership on emerging trends in AI, technology, and higher education.
QualificationsEducation/Experience

Qualifications

  • Earned doctorate in a relevant field.
  • Significant experience in higher education teaching.
  • Demonstrated expertise in curriculum and course development.
  • Knowledge of artificial intelligence and its applications in education and industry.
  • Strong analytical, communication, and project-management skills.
Knowledge/Skills/Abilities
  • Demonstrated expertise in artificial intelligence, data analytics, machine learning, or related fields.
  • Strong curriculum design and course development skills.
  • Ability to develop learning outcomes, assessments, instructional materials, and academic content.
  • Knowledge of graduate-level instructional practices and online/hybrid education.
  • Ability to evaluate and improve curriculum quality and academic effectiveness.
  • Strong analytical, research, writing, and project-management skills.
  • Ability to collaborate effectively with faculty, program chairs, and academic administrators.
  • Excellent oral and written communication skills.
  • Ability to work independently and manage multiple concurrent projects.
Travel
  • None.
Working Conditions
  • Hybrid work arrangement, with regular participation in on-campus meetings and activities as required.
  • Standard office and academic working environment.
  • Regular use of computers and educational technology platforms.
  • Occasional evening or weekend work may be required to support academic initiatives, course development, teaching responsibilities, or special projects.
  • Limited travel may be required for conferences, professional meetings, or institutional events.
  • Position is a 50% FTE appointment with responsibilities distributed across teaching, curriculum development, and strategic academic initiatives.

Physical Demands

  • Ability to remain seated and work at a computer for extended periods.
  • Ability to communicate effectively in person and through electronic means.
  • Ability to attend meetings, presentations, and academic events as required.
Maximum SalaryUSD $75,000.00/Yr.Minimum SalaryUSD $60,000.00/Yr.Employment Type: PART_TIME

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