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AI and Machine Learning Intern

May 21, 2026

Develop and deploy AI, machine learning, and data science solutions to solve complex technical and analytical challenges at NASA GRC.

Your Role

Key responsibilities include:

Conduct exploratory data analysis, statistical analysis, and hypothesis testing on large datasets; develop visualizations and dashboards
Build predictive and prescriptive models to forecast trends and support data-driven decision-making
Design, train, and optimize machine learning models using supervised, unsupervised, and reinforcement learning techniques
Perform data collection, cleaning, preprocessing, feature engineering, and develop data pipelines for efficient data management
Implement ML algorithms using frameworks such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy
Evaluate model performance, conduct hyperparameter tuning, and improve accuracy, efficiency, and interpretability
Deploy models and analytical solutions into production, integrate with existing systems ensuring scalability and reliability
Stay current with emerging AI/ML/data science technologies and recommend innovative approaches
Document model architectures, methodologies, and results; communicate findings to technical and non-technical stakeholders
Collaborate with software engineers, data engineers, domain experts, and business stakeholders to deliver end-to-end solutions
Design and execute experiments and A/B testing to validate hypotheses and measure impact

About You

The company is looking for candidates with:

Strong analytical and statistical skills
Proficiency in programming, especially Python
Data visualization capabilities
Ability to manage multiple projects simultaneously while maintaining high-quality deliverables
Eligible applicants must be students at undergraduate (freshman to senior), graduate (master’s, doctoral), or postdoctoral levels
U.S. citizenship is required
Preferred majors include Computer Science, Computer Programming, Data Processing, Information Science, Computer Engineering, Engineering, Applied Mathematics, Mathematics and Statistics, and related fields

How to Apply

Submit your application as per NASA GRC internship procedures for full-time, in-person engagement.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

Report this job

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

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The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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