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Internship Machine Learning Quant Jobs in Oklahoma

Strayos

$13 - $17.50/hr

... internship opportunity ... Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ...

RAE Corporation

MFG Intern

Pryor, OK · On-site

Interns will work alongside RAE employees on the production floor for a local manufacturer of refrigeration and HVAC equipment. Interns will work on special projects assigned to them and will learn ...

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What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

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Internship Machine Learning Quant jobs near you

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 21 days ago

Job description

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.

Employment Type: INTERN

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