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Graduate Student Data Scientist Intern - Remote

Posted 6 weeks ago
Data Analysis
Internship
USA
$20 - $30/hour

Overview

Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform helps expand manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. We're looking for a talented graduate-level student to join our mission and gain real-world experience in software testing and AI technology.

In Short

  • Learn and apply modern computer vision techniques through hands-on development of AI vision systems.
  • Assist senior researchers in designing and conducting experiments to advance our vision capabilities.
  • Implement and test vision models using Python and popular deep learning frameworks.
  • Participate in data collection, preprocessing, and validation of vision systems.

Requirements

  • Currently pursuing MS/PhD in Computer Science, Data Science, or related field.
  • Strong Python programming skills.
  • Understanding of machine learning fundamentals.
  • Basic knowledge of computer vision concepts and deep learning.
  • Ability to work between 20-25 hours per week.
  • Strong attention to detail.
  • Excellent communication skills.
  • Eagerness to learn and grow.

Benefits

  • Gain real-world experience with cutting-edge AI technology.
  • Flexible hours that work around your class schedule.
  • Mentorship from experienced software engineers.
  • Opportunity to work on meaningful projects that impact American manufacturing.

Rapta

Rapta

Rapta is an innovative company dedicated to transforming American manufacturing through the use of AI-powered vision systems. Their advanced software platform significantly enhances manufacturing capacity by automating quality control and inspection processes, leading to a remarkable reduction in errors. With a focus on technical innovation, Rapta is committed to developing cutting-edge AI solutions that make a meaningful impact in the manufacturing sector.

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