AI Engineer
Trial Library
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob 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.