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Deep Learning Instructor Jobs (NOW HIRING)

Albertsons

Manager Learning Pharmacy

Boise, ID · On-site

$61.75 - $72.75/hr

This position requires an active pharmacist license (PharmD preferred) and deep experience in ... Design and develop engaging, learner-centered pharmacy learning solutions (eLearning, instructor ...

Albertsons

Manager Learning Pharmacy

Boise, ID · On-site

$61.75 - $72.75/hr

This position requires an active pharmacist license (PharmD preferred) and deep experience in ... Design and develop engaging, learner-centered pharmacy learning solutions (eLearning, instructor ...

New

Albertsons

Manager Learning Pharmacy

Boise, ID

$61.75 - $72.75/hr

This position requires an active pharmacist license (PharmD preferred) and deep experience in ... Design and develop engaging, learner-centered pharmacy learning solutions (eLearning, instructor ...

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Deep Learning Instructor information

What are the key skills and qualifications needed to thrive as a Deep Learning Instructor, and why are they important?

To thrive as a Deep Learning Instructor, you need deep expertise in machine learning, mathematics, and programming, often supported by advanced degrees and practical experience in AI. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and cloud platforms, along with relevant certifications, is typically required. Strong communication, patience, and the ability to break down complex concepts are crucial soft skills for effectively teaching diverse learners. These skills ensure instructors can deliver clear, up-to-date, and engaging learning experiences that prepare students for cutting-edge AI roles.

How does a Deep Learning Instructor typically collaborate with industry professionals to keep course material up to date?

Deep Learning Instructors often work closely with industry professionals by attending conferences, networking with practitioners, and participating in collaborative projects. This helps them stay informed about the latest advancements and real-world applications, which they incorporate into their curriculum. Regularly updating course content ensures students gain relevant, practical knowledge and are prepared for current industry demands. Additionally, instructors may invite guest speakers or arrange industry-led workshops to enhance the learning experience.

What is a Deep Learning Instructor?

A Deep Learning Instructor is a professional who teaches students or professionals about deep learning concepts, techniques, and tools. They design and deliver courses or workshops on topics such as neural networks, computer vision, natural language processing, and machine learning frameworks like TensorFlow and PyTorch. Deep Learning Instructors often combine theoretical lessons with hands-on coding exercises, helping learners acquire practical skills for real-world applications. They may work in academic institutions, online learning platforms, or corporate training settings.

What is the difference between Deep Learning Instructor vs Machine Learning Instructor?

AspectDeep Learning InstructorMachine Learning Instructor
Required CredentialsTypically requires a master's or PhD in computer science, AI, or related fields; certifications in deep learning frameworks (e.g., TensorFlow, PyTorch)Similar credentials; often includes certifications in machine learning algorithms and tools
Work EnvironmentEducational institutions, online platforms, corporate training programs focused on deep learning techniquesBroader environments including general machine learning courses, data science bootcamps, and corporate training
Employer & Industry UsageTech companies, universities, online education providers specializing in AI and deep learningTech firms, data science companies, online education platforms covering broader ML topics

Deep Learning Instructors focus specifically on neural networks and advanced AI models, while Machine Learning Instructors cover a wider range of algorithms and techniques. Both roles require similar qualifications but differ in specialization and scope.

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What job categories do people searching Deep Learning Instructor jobs look for? The top searched job categories for Deep Learning Instructor jobs are:
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Infographic showing various Deep Learning Instructor job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 36% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University

New York, NY

$11K - $13K/mo

Part-time

Posted 8 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 seventeen 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 experienced industry professionals to serve as part-time Lecturer for a graduate-level course in 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. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • 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 and a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Doctorate degree in Computer Science, Data Science, or a related field.
  • 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.

Preferred Skills & Experience

  • 10+ years of related professional experience. 

  • 2+ years of University teaching experience, ideally at the graduate level.

  • Strong verbal and written skills for explaining concepts clearly.

Additional Information

Salary range: $11,000 - $13,000 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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