Remote Otter LogoRemoteOtter

AI Intern - Remote

Posted 1 week ago
All others
Internship
USA
$75,000/year

Overview

Join our innovative team at G-P as an AI Intern, where you will contribute to the development of cutting-edge AI technology and positively impact lives around the world.

In Short

  • Collaborate with AI experts to develop and optimize generative AI and NLP models.
  • Conduct research on state-of-the-art techniques in AI and NLP.
  • Contribute to the design and implementation of AI solutions.
  • Analyze data to improve model performance.
  • Document and present research findings.
  • Participate in team meetings and contribute to team goals.
  • Execute tests for AI systems to minimize issues.
  • Troubleshoot and optimize AI/ML models.

Requirements

  • Pursuing or completed a Bachelor's or Master's in Computer Science.
  • Proficiency in Python and relevant AI/NLP libraries (e.g., TensorFlow, PyTorch).
  • Passion for AI, especially generative AI and NLP.
  • Familiarity with machine learning algorithms.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills for team collaboration.

Benefits

  • 12-week, full-time, paid internship.
  • Collaborative and inclusive work environment.
  • Access to state-of-the-art tools and resources.
  • Opportunity to make a meaningful impact in the AI industry.

G-P

G-P

G-P is a leading SaaS-based Global Growth Platform™ that empowers organizations to expand into over 180 countries efficiently, eliminating the complexities of establishing local entities. With a commitment to breaking down barriers to global business, G-P fosters a diverse, remote-first work environment that values innovation and collaboration. The company focuses on building exceptional global teams quickly, streamlining hiring, onboarding, and management processes to unlock growth potential. G-P is dedicated to creating opportunities for everyone, everywhere, and offers competitive compensation, professional development, and a mission-driven culture aimed at solving complex global workforce challenges.

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