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Learning Technology Internship Jobs in New York (NOW HIRING)

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus ... A top-notch programmer with a love for technology * Intellectually curious, collaborative, and ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus ... A top-notch programmer with a love for technology * Intellectually curious, collaborative, and ...

Surya Sound Temple

Music Internship

Brooklyn, NY · On-site +1

$15.75 - $21/hr

Rather than making coffee or filing paperwork, you'll contribute to active projects while learning ... Interested in recording, media, design, or creative technology * Organized and dependable

Jane Street

Machine Learning Researcher

New York, NY · On-site

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and ... You'll spend the bulk of your internship working closely with full-time machine learning ...

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Learning Technology Internship information

What is a learning technology internship?

A Learning Technology Internship is a temporary position, typically for students or recent graduates, that provides hands-on experience working with educational technologies in schools, universities, or corporate training environments. Interns may assist with implementing learning management systems, supporting online course development, and troubleshooting technical issues for educators and learners. This role helps interns gain practical skills in instructional technology, digital content creation, and technology integration within educational settings.

What are the key skills and qualifications needed to thrive as a learning technology intern, and why are they important?

To thrive as a Learning Technology Intern, you need a foundational understanding of instructional design, educational technology, and strong computer literacy, often supported by coursework or a degree in education or a related field. Familiarity with learning management systems (LMS), digital content creation tools, and platforms such as Canvas or Moodle is typically required. Strong communication, teamwork, and problem-solving abilities help interns collaborate effectively and adapt to evolving project needs. These skills ensure efficient support of educational initiatives, successful integration of technology in learning environments, and valuable contributions to instructional teams.

What types of projects and responsibilities can I expect during a learning technology internship?

During a Learning Technology Internship, you can expect to work on projects such as developing digital learning resources, assisting with the implementation of Learning Management Systems (LMS), and supporting educators with technology integration. Interns often collaborate with instructional designers, IT specialists, and faculty to enhance online learning experiences. You may also be involved in troubleshooting technical issues, creating training materials, and gathering user feedback to help improve educational tools. This hands-on exposure provides valuable experience in both educational technology and cross-functional teamwork.
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Learning Technology Internship jobs near you

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 22 days ago

Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply