Clover Health Machine Learning Developer

We're looking for a Machine Learning Engineer II to help us build a revolutionary new health care business Counterpart Health uses Machine Learning (including NLP/LLMs) to leverage our data to help keep patients healthy and out of the hospital by getting them targeted care By predicting avoidable adverse events, our ML infrastructure is central to working on our central mission, and has a direct impact on improving clinical care You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the ML capabilities of our Platform Create, debug, interpret and improve production ML models Design, implement and validate pieces of our high-reliability, distributed platforms for ML Build the tools and validation processes that help Counterpart translate insights into action at scale Use existing commercial and open source tools to create a robust production platform Work closely with Counterpart's Data Science and Engineering teams to ensure that the ML platform is providing real value Document, iterate, and provide tutorials to ensure Data Scientists and Engineers are able to use your tools easily Success in this role looks like: Within 90 days: Successfully able to deliver a well-scoped project that improves machine learning models or systems Within 6 months: Able to increasingly own larger pieces of the system and work more autonomously in places you have experience In the future: Growing in ownership to increasingly large and complex pieces of our ML models and systems

Clover Health is a medical insurance company operating as a Preferred Provider Orgaization for Medicare Advantage, the Medicare plan for elderly American citizens. It aims to reduce the doctor-insurer friction to increase visibility into the health of patients. Through its approach, Clover's physicians are able to focus on people, rather than paperwork. It has a patient-centered analytics and dedicated care management team, and thus is able to rapidly identify potential healthcare risks to provide preventative care. This helps to provide a more sophisticated level of care than existing providers, even if its market share is relatively slim compared to competitors like UnitedHealthcare and Humana. Over the years it has performed well in a rapidly growing market, but in 2021 ran into issues with profitability in the market due to inefficient costings, an issue it is steadily nipping in the bud in 2023. However, the number of elderly Americans has doubled over the past 25 years, and the market is expected to do the same between now and 2025. This upward trend brings hope of revitalising the growth and strong financial performance Clover has seen in recent years, especially as it focuses more on profitability through 2023.