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Internship Computer Science Cpt Jobs in Houston, TX

Danaher

Software Automation Internships

Houston, TX · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Engineer Internships

The Woodlands, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Houston, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Hp

Enterprise Operations Engineering Internship

Spring, TX

$35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... CPT) or Optional Practical Training (OPT). About Us Innovation is in HP's DNA. From our origins in ... Industrial Engineering, Mechanical Engineering, Data Analytics, Data Sciences and Computer Science ...

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Internship Computer Science Cpt information

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How much do internship computer science cpt jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship computer science cpt in Houston, TX is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $18.37 per hour, depending on experience, location, and employer.

What is an Internship Computer Science CPT?

An Internship Computer Science CPT refers to a Curricular Practical Training (CPT) opportunity for computer science students who are on F-1 visas in the United States. CPT allows eligible international students to gain hands-on work experience in their field of study while still enrolled in their academic program. The work must be directly related to their major, approved by their school, and can be part-time or full-time depending on the institution's policies. Participation in CPT helps students apply classroom knowledge to real-world problems and build professional skills.

What types of projects or tasks can I expect to work on during an Internship Computer Science CPT?

During a Computer Science CPT internship, you can expect to work on a variety of hands-on projects such as software development, debugging, testing, and collaborating on code reviews with your team. Interns often contribute to ongoing projects, assist with designing algorithms, and may participate in meetings to discuss technical solutions and project progress. The work environment is typically collaborative, with interns receiving mentorship from experienced engineers and opportunities to learn new technologies. This experience helps build practical skills that are directly applicable to future full-time roles.

What are the key skills and qualifications needed to thrive as an Internship Computer Science CPT, and why are they important?

To thrive as an Internship Computer Science CPT, you typically need foundational programming knowledge, problem-solving abilities, and enrollment in a relevant academic program, with CPT (Curricular Practical Training) authorization from your university. Familiarity with coding languages like Python or Java, version control systems such as Git, and exposure to development environments are commonly expected. Strong communication, adaptability, and teamwork skills help interns effectively learn and contribute within professional settings. These skills and qualifications are crucial to ensuring successful integration into real-world projects, compliance with visa requirements, and meaningful professional growth.

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Internship Computer Science Cpt jobs near you
Infographic showing various Internship Computer Science Cpt job openings in Houston, TX as of August 2026, with employment types broken down into 31% Internship, and 69% Part Time. Highlights an 100% In-person job distribution, with an average salary of $34,632 per year, or $16.6 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 28 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.

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