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Internship Spacex Computer Science Jobs in Houston, TX

INEOS

IT Systems - Internship

League City, TX · On-site

$12.75 - $17.25/hr

Job title IT Systems Internship Location Marina View Office - League City, TX Organizational ... Bachelor of Science in Information Technology (BSIT), Bachelor of Science in Computer Science (BSCS ...

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Internship Spacex Computer Science information

What is the difference between Internship Spacex Computer Science vs Software Engineer Intern?

AspectInternship Spacex Computer ScienceSoftware Engineer Intern
Required CredentialsEnrolled in Computer Science or related degreeEnrolled in Computer Science or related degree
Work EnvironmentSpace industry, aerospace projects, collaborative teamsTechnology companies, software development teams
Employer & Industry UsageSpaceX, aerospace, defenseTech companies, startups, software firms
Common Search & ComparisonYesYes

Both Internship Spacex Computer Science and Software Engineer Intern roles typically require students to be enrolled in a related degree program. The main difference lies in the work environment: SpaceX internships focus on aerospace and space projects, while software engineering internships are more common in general tech companies. Both roles aim to provide hands-on experience in software development, but the industry context varies significantly.

Does SpaceX hire interns?

SpaceX offers internship programs for students and recent graduates in various fields, including computer science. Internships typically last several months and may require relevant coursework, technical skills, and a strong interest in aerospace technology. Applicants can apply through the SpaceX careers website during designated application periods.

How difficult is it to get a SpaceX internship?

Securing a SpaceX internship in computer science is highly competitive, often requiring strong academic performance, relevant technical skills such as programming and software development, and prior project or research experience. Applicants typically go through a rigorous application process including multiple interview stages and technical assessments.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but highly regarded options include internships at leading tech companies like SpaceX, which offer hands-on experience in aerospace engineering, software development, and robotics. Successful applicants typically have strong programming skills in languages such as Python or C++, and may benefit from prior coursework or projects in areas like algorithms, data structures, or machine learning.

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For Internship Spacex Computer Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Internship Spacex Computer Science jobs in Houston, TX look for?

The top searched job categories for Internship Spacex Computer Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Internship Spacex Computer Science jobs?

Cities near Houston, TX with the most Internship Spacex Computer Science job openings:

Internship Spacex Computer Science jobs near you
Infographic showing various Internship Spacex Computer Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Houston, TX

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International LLCexternal

Full-time

Re-posted 8 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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