Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.
The focus of the Machine Learning Engineering team is to develop models and logic to address customers’ needs, package the codebase for testing, and deploy it to production environments. The ideal candidate understands machine learning as well as software development best practices— from collecting and preprocessing data for training, validating, and testing machine learning models to unit and integration testing, deployment, and maintenance. As a Machine Learning Engineer, you will be expected to have the ability to work collaboratively with customers and other engineers to demonstrate value in sprints.
Preferred Skills/Experience Nice to Have: