Trial Library

AI Engineer

Trial Library

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

JuniorMid-Level

Tech Stack

PyTorch

About the role

  • Creatively apply LLMs to develop solutions that streamline workflows and improve efficiency in clinical trial recruitment.
  • Collaborate with product and engineering teams to integrate AI models into existing and new applications.
  • Apply principles of classic machine learning and experiment design to work with datasets, measure model accuracy, and iterate on solutions.
  • Implement and maintain robust testing strategies for AI models, including unit, integration, and performance tests.
  • Participate in code reviews to ensure code quality and adherence to best practices.
  • Troubleshoot and debug AI-related issues, identifying and resolving performance bottlenecks.
  • Stay up-to-date with emerging AI technologies, particularly in the LLM and agent space, and best practices.
  • Educate and assist coworkers in leveraging AI in their daily tasks where appropriate.
  • Work with healthcare and clinical trial datasets, exercising a practical understanding of industry best practices (e.g., HIPAA).

Requirements

  • Bachelor's degree or similar in Computer Science, Software Engineering, AI, Machine Learning, or a related field.
  • 2+ years of experience in AI/ML engineering, with a strong focus on LLMs.
  • Experience in developing and deploying applications leveraging LLMs.
  • Basic understanding of classic machine learning algorithms and experiment design.
  • Experience with AI/ML frameworks and libraries (e.g., PyTorch, Hugging Face).
  • Familiarity with full-stack development concepts and technologies.
  • Experience with healthcare tech or clinical trials is a significant plus.
  • Respect for compliance and privacy requirements in healthcare (e.g. HIPAA).
  • A love of teaching and helping others succeed.