About the role#
This internship at the Langley Research Center focuses on two primary areas. You will work on applying machine learning models to predictive maintenance and modernizing legacy software through generative super intelligence tools. This is a full-time, on-site role for the summer of 2027.
What you'll do#
- Apply machine learning models to new data acquisition systems to predict anomalous states on equipment.
- Work with accelerometer data to support predictive maintenance goals.
- Redevelop and modernize legacy applications using generative super intelligence tools.
- Utilize Esri ArcGIS tools, including ExperienceBuilder, for project tasks.
What you'll need#
- Current enrollment in an undergraduate or graduate program, with a major in Computer Science or a related field.
- Background in applying machine learning across multiple modalities.
- Hands-on experience with accelerometers and spectral-based feature engineering.
- Familiarity with generative SI tools such as Google Antigravity, Claude Code, and Codex.
- Experience with Esri ArcGIS software.
- Must be a United States citizen.
Location & details#
- Location: Hampton, Virginia.
- Term: June 7, 2027, to August 13, 2027.
- Modality: On-site.
- This position is paid.
About NASA - National Aeronautics and Space Administration
The National Aeronautics and Space Administration is a government agency founded in 1958. It conducts research and development in aeronautics, space exploration, and science. The organization operates from various locations across the United States, including its headquarters in Washington, DC. With over 53,000 employees, it manages missions involving rockets, spacecraft, and Earth observation.
How to get in at NASA - National Aeronautics and Space Administration
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