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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 ...

Kira

AI Learning Scientist

New York, NY · Remote

$130K - $180K/yr

... topics like machine learning evaluation, recommendation systems, or psychometrics. * You ... You have classroom teaching experience in a K-12 setting. * You have worked in an edtech product ...

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

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 typical responsibilities of a Machine Learning Teaching professional?

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 is a Machine Learning Teaching job?

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 is the salary of machine learning trainer?

The salary of a machine learning trainer varies based on experience, location, and employer, but typically ranges from $60,000 to $120,000 annually. Professionals with advanced skills in programming, data analysis, and deep learning tools like Python, TensorFlow, or PyTorch tend to earn higher salaries.

Which 3 jobs will survive AI?

Machine Learning Teaching roles are likely to persist as they involve explaining complex concepts, mentoring, and adapting to new AI tools. Jobs requiring emotional intelligence, creativity, and critical thinking—such as healthcare professionals, educators, and skilled tradespeople—are also expected to remain in demand despite AI advancements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve developing innovative AI solutions, managing teams, and working with cutting-edge tools and frameworks, with compensation reflecting the expertise and impact expected.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role requires expertise in data science, programming, and domain knowledge that cannot be fully replaced by AI itself.
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Machine Learning Teaching 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 • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 18 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 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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