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Summer Machine Learning Teaching Jobs (NOW HIRING)

Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...

Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... This person will implement and develop machine learning models to enhance our platform ...

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Summer 2027. Start dates will be determined based on candidate availability and, for students ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Summer 2027. Start dates will be determined based on candidate availability and, for students ...

About the Position We're looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning. Machine learning is a critical pillar of Jane Street's global ...

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... teacher. You know how to break down complex ML concepts for a specific audience and make it click ...

About the Position We're looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning. Machine learning is a critical pillar of Jane Street's global ...

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Summer Machine Learning Teaching information

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$23K

$53.5K

$99.5K

How much do summer machine learning teaching jobs pay per year?

As of Jul 22, 2026, the average yearly pay for summer machine learning teaching in the United States is $53,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Summer Machine Learning Teaching vs Summer Data Science Teaching?

AspectSummer Machine Learning TeachingSummer Data Science Teaching
Required CredentialsBackground in machine learning, programming, and statisticsKnowledge of data analysis, statistics, and programming
Work EnvironmentEducational settings, workshops, or bootcampsEducational or training programs, workshops, or bootcamps
Employer & Industry UsageUniversities, tech companies, educational platformsUniversities, research institutions, tech companies
Comparison Search IntentUnderstanding roles related to machine learning educationUnderstanding roles related to data science education

Summer Machine Learning Teaching focuses on instructing students in machine learning algorithms, models, and programming, often requiring a strong background in mathematics and programming. Summer Data Science Teaching covers broader data analysis skills, including statistics, data visualization, and programming. Both roles involve educational settings and are used by universities and tech companies, but they emphasize different technical areas.

More about Summer Machine Learning Teaching jobs
What cities are hiring for Summer Machine Learning Teaching jobs? Cities with the most Summer Machine Learning Teaching job openings:
What are the most commonly searched types of Machine Learning Teaching jobs? The most popular types of Machine Learning Teaching jobs are:
What states have the most Summer Machine Learning Teaching jobs? States with the most job openings for Summer Machine Learning Teaching jobs include:
What job categories do people searching Summer Machine Learning Teaching jobs look for? The top searched job categories for Summer Machine Learning Teaching jobs are:
Infographic showing various Summer Machine Learning Teaching job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $53,476 per year, or $25.7 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 7 hours ago

New


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.