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Software Engineering Intern - Remote

Posted 3 weeks ago
Software Development
Internship
USA

Overview

Rad AI is seeking exceptional Software Engineering Interns to join our dynamic team for a summer of growth, learning, and impact in the exciting intersection of AI and radiology.

In Short

  • Contribute to core products and features
  • Collaborate with engineers, research scientists, and radiologists
  • Gain hands-on experience in the full software development lifecycle
  • Work remotely from anywhere in the US or Canada
  • Opportunity to dramatically impact product development
  • Intern-focused programming during the internship
  • Competitive salary and housing stipend
  • 1-2 in-person team gatherings
  • Possibility of a full-time offer upon successful completion of the internship
  • Work with a team passionate about AI in healthcare

Requirements

  • Currently enrolled in a degree-seeking program in computer science or related field
  • Demonstrated software engineering experience
  • Experience coding in Python, JavaScript, TypeScript, or FastAPI
  • Knowledge of relational and document-based databases
  • Understanding of modern web architecture
  • Must obtain work authorization in the country of employment
  • Enthusiasm for AI applications in healthcare
  • Intent to return to degree program after the internship

Benefits

  • Comprehensive Medical, Dental, Vision & Life insurance
  • HSA (with employer match), FSA, & DCFSA
  • 401(k)
  • 11 Paid Company Holidays
  • Location Flexibility (Remote-first company!)
  • Flexible PTO policy
  • Annual company-wide offsite
  • Periodic team offsites
  • Annual equipment stipend
Rad AI logo

Rad AI

Rad AI is a forward-thinking technology company specializing in artificial intelligence solutions for the healthcare industry. The company focuses on enhancing radiology workflows and improving patient outcomes through innovative AI-driven tools. With a commitment to leveraging cutting-edge technology, Rad AI aims to empower healthcare professionals and streamline processes, ultimately transforming the way medical imaging is utilized.

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