Home › Companies › Usm › Marine Data Scientist Summer Internship
Marine Data Scientist Summer Internship
Usm · Gulfport, MS, US · Active · Cornerstone OnDemand / CSOD
Job facts
| Field | Value |
|---|---|
| Company | Usm |
| Title | Marine Data Scientist Summer Internship |
| Normalized title | - |
| Department / team | - |
| Location | Gulfport, MS, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Cornerstone OnDemand / CSOD |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Usm. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Cornerstone OnDemand / CSOD. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Gulfport. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Usm |
| Source | 7f108b2d-6838-46c4-be90-d4ffe4cbf4ef |
| ATS provider | Cornerstone OnDemand / CSOD |
Description
Special Instructions to Applicants Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B). Job Summary The intern will experiment with using Artificial Intelligence (AI) and Machine Learning (ML) to assist COE in selecting appropriate AI/ML models from publicly available databases and hosting them on CUBEnet-a regional ocean observing network. The intern will experiment with different AI/ML models using a variety of datasets such as oceanographic, atmospheric, acoustic, and optical data collected by data buoys, satellites, and uncrewed marine systems. Primary Duties and Responsibilities Host the AI/ML models on COE server and run models to output the model results on a custom-built web interface Expected to explore the application of generative AI for purposes of ocean science data analysis with a focus on tracking accuracy and utility of AI tools and prompts Learn about the end-to-end AI/ML model implementation pipelines Expected to gain skills in applying AI/ML application to the ocean science data and gain practical experience to implement AI/ML in real world Expected to work independently to some extent, but the mentor will be available for guidance whenever it is needed Performs other duties as assigned.
Full job record
| Job ID | 0ca91ed1e0e662b924a7f5f24e3766f04dbe2819 |
| Org ID | 617b7c76-f7b6-4377-bbaa-1ae7ccc45d92 |
| Source ID | 7f108b2d-6838-46c4-be90-d4ffe4cbf4ef |
| Board ID | 7f108b2d-6838-46c4-be90-d4ffe4cbf4ef |
| Provider | cornerstone_csod |
| Provider Job Key | 5358 |
| Title | Marine Data Scientist Summer Internship |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Gulfport, MS, US |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | MS |
| City | Gulfport |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://usm.csod.com/ux/ats/careersite/1/requisition/5358?c=usm |
| Apply URL | https://usm.csod.com/ux/ats/careersite/1/requisition/5358?c=usm |
| First Seen At | 2026-06-06 10:04:25Z |
| Last Seen At | 2026-06-06 10:04:25Z |
| Last Checked At | 2026-06-06 10:04:25Z |
| Last Changed At | 2026-06-06 10:04:25Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=cornerstone_csod/board=usm/date=2026-06-06/2026-06-06T10-04-24-950Z-8d1cf363aa9f3760ba0d037215400cdd380ee925e3134065209207bb23ce00cf.json |
Event Fields
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"displayJobTitle": "Marine Data Scientist Summer Internship",
"externalDescription": " Special Instructions to Applicants Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B). Job Summary The intern will experiment with using Artificial Intelligence (AI) and Machine Learning (ML) to assist COE in selecting appropriate AI/ML models from publicly available databases and hosting them on CUBEnet-a regional ocean observing network. The intern will experiment with different AI/ML models using a variety of datasets such as oceanographic, atmospheric, acoustic, and optical data collected by data buoys, satellites, and uncrewed marine systems. Primary Duties and Responsibilities Host the AI/ML models on COE server and run models to output the model results on a custom-built web interface Expected to explore the application of generative AI for purposes of ocean science data analysis with a focus on tracking accuracy and utility of AI tools and prompts Learn about the end-to-end AI/ML model implementation pipelines Expected to gain skills in applying AI/ML application to the ocean science data and gain practical experience to implement AI/ML in real world Expected to work independently to some extent, but the mentor will be available for guidance whenever it is needed Performs other duties as assigned. ",
"postingEffectiveDate": "6/4/2026",
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