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How much do internship international architect jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship international architect in the United States is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $26.68 per hour, depending on experience, location, and employer.

What is the difference between Internship International Architect vs Junior Architect?

AspectInternship International ArchitectJunior Architect
CredentialsTypically enrolled in or recently completed architecture degreePossesses architecture degree, may have licensure or licensing exam experience
Work EnvironmentInternship setting, learning-focused, supervisedEntry-level professional, responsible for assisting in projects
Industry UsageCommonly used for students or recent graduates gaining experienceUsed for early-career architects starting professional work

The main difference is that an Internship International Architect is a learning position for students or recent graduates, while a Junior Architect is an entry-level professional with some responsibilities. Internships focus on training, whereas Junior Architects actively contribute to projects.

Which country is best for architecture internship?

The best country for an architecture internship depends on factors such as industry reputation, opportunities for mentorship, and work environment. Countries with established architecture industries like the United States, the United Kingdom, and Germany often offer diverse projects and access to advanced tools like CAD and BIM software. Interns should consider visa requirements, language, and cultural fit when choosing a location.

What cities are hiring for Internship International Architect jobs?

Cities with the most Internship International Architect job openings:

What are the most commonly searched types of International Architect jobs?

The most popular types of International Architect jobs are:

What states have the most Internship International Architect jobs?

States with the most job openings for Internship International Architect jobs include:

Internship International Architect jobs near you

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Re-posted yesterday

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