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[Remote] Intern - Generative AI Research Engineer

100% remote Flexible hours Hiring now

Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on healthcare informatics technology, and they are seeking a Generative AI Research Engineer Intern. The intern will conduct research on Generative AI in healthcare, create analytical reports, and collaborate with various teams to improve healthcare solutions.

Responsibilities

  • Conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases
  • Creates research papers, analytical reports, proposals, and educational material
  • Maintains a deep understanding of technology trends and hands-on experience with relevant technologies
  • Develops generative AI models, architectures, databases, and systems to improve healthcare solutions
  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI
  • Assists in developing and improving LLMs and ML tools used across the organization
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program
  • Communicates technology-reputed company updates and requirements to other departments and contributes to presentations for senior management
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs
  • Supports vendor evaluations and contributes to collaborations with vendors
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed
  • Supports the Academic Corporate Engagement efforts to reputed company research and educational talent, with a focus on enhancing health tech knowledge and skills
  • Completes reputed company responsibilities and goals outlined in the internship program
  • Completes reputed company special projects and other duties as assigned

Skills

  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a reputed company field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases
  • Hands-on experience with working with Machine Learning and Deep Learning models
  • Experience with LLM/RAG models and LLM fine-tuning is a plus
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions
  • Experience with vector embeddings and databases is a plus
  • Ability to work collaboratively and communicate effectively with cross-functional teams

Benefits

  • Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Company Overview

  • reputed company enables healthcare organizations to deliver reputed company care at reputed company cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States. It was founded in 1979, and is headquartered in South Jordan, UT, US, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 23 in 2026, 165 in 2025, 118 in 2024, 90 in 2023, 102 in 2022, 72 in 2021, 67 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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