$13 - $17.50/hr
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics.
$13 - $17.50/hr
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics.
$13 - $17.50/hr
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics.
Job Summary Continental Resources is seeking an Advisor-level New Ventures Geoscientist to evaluate ... Experience applying remote sensing, surface imaging, or geospatial datasets as a complementary ...
Job Summary Continental Resources is seeking an Advisor-level New Ventures Geoscientist to evaluate ... Experience applying remote sensing, surface imaging, or geospatial datasets as a complementary ...
Oklahoma City, OK · On-site +1
As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project proposal and management duties with integrity and a drive to succeed. You will also process design ...
Quick apply
Oklahoma City, OK · On-site +1
As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project proposal and management duties with integrity and a drive to succeed. You will also process design ...
| Aspect | Remote Geoscience | Remote Geotechnical Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in Geoscience, Geology, or related fields; certifications vary | Bachelor's or higher in Civil or Geotechnical Engineering; often requires PE license |
| Work Environment | Field and office-based, often involving data analysis and reporting | Primarily office-based, focusing on soil and foundation analysis |
| Industry Usage | Mining, oil & gas, environmental consulting | Construction, infrastructure, and foundation projects |
| Common Search & Comparison | Yes | No |
Remote Geoscience involves analyzing Earth's materials and processes, often in environmental or resource sectors, while Remote Geotechnical Engineer focuses on soil and foundation stability for construction projects. Both roles require related credentials and are used in industries that value remote work, but they serve different technical functions.

$13 - $17.50/hr
Other
Re-posted 7 days ago
If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.
Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.
Responsibilities
Leverage our Python-based platform to query, access, and manipulate aerial imagery
Utilize machine learning or other classification techniques to analyze aerial imagery
Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship
Requirements
Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.
Experience with Python & Numpy
Strong problem solving and critical thinking skills
Excellent written and verbal communication
Ability to work independently
Preferred skills
Experience with machine learning and image classification
Proficiency with the following Python packages: numpy, scikit-learn, keras
Experience working with aerial or satellite imagery and geospatial data.