Design, develop, and implement features leveraging our state-of-the-art LLM, with a focus on optimizing the automation of healthcare provider notes
Collaborate with the product development team to identify and prioritize tasks that advance the companys strategic goals and enhance user satisfaction
Engage in prompt engineering to refine and tailor the language models output, ensuring maximum relevance and accuracy for clinical applications
Participate in code reviews and contribute to the continuous improvement of the development process, advocating for best practices in software engineering
Analyze and interpret complex datasets, applying machine learning algorithms to improve the functionality and intelligence of the application
Job Requirements:
Bachelors or Masters degree in Computer Science, Machine Learning, or a related technical field, with a minimum of 3 years of relevant industry experience
Strong proficiency in Python and hands-on experience with machine learning, particularly in the development and application of LLMs
Proven track record of delivering high-quality software features in a fast-paced, iterative development environment
Excellent problem-solving skills with the ability to diagnose and address issues effectively in a complex and dynamic system
Demonstrable knowledge and experience with GPT
Strong understanding of prompt engineering and its role in fine-tuning LLM outputs for specific use cases
Demonstrated ability to work collaboratively in a cross-functional team, as well as independently with minimal supervision
Excellent communication skills, with the proficiency to clearly express technical concepts and solutions to both technical and non-technical stakeholders
Prior experience in a healthcare-related technology field is a plus, particularly with familiarity in electronic health records (EHR) and clinical natural language processing (NLP) applications
Fluent in spoken and written English communication