Aledade is hiring a Staff AI Researcher

The Staff AI Researcher is responsible for developing advanced artificial intelligence solutions that improve health outcomes for millions of patients by empowering primary care physicians with technology that keeps patients healthy and prevents unnecessary hospitalizations. The Staff AI Researcher collaborates with engineering and analytics teams to bring AI technologies into existing products and workflows. Additionally, the role involves training, fine-tuning, and using AI models harnessing knowledge from extensive data sets of medical records, diagnoses, claims, and prescriptions collected from millions of patients across the country. Primary duties include building working prototypes using off-the-shelf and novel AI techniques to deliver higher levels of optimization for the company; working with large, complex data sets and solving difficult, non-routine analytical problems to harvest data; redesigning existing pipelines and systems to meet growing data and query needs; implementing techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks; developing evaluation metrics and benchmarks to assess the quality and performance of AI/ML models; designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance; setting and upholding standards for engineering processes, including style and code checking, test harnesses, and release packaging; and delivering working proof-of-concept solutions that balance speed, scalability, and time-to-market considerations. This is a remote work position. Multiple positions are available. Minimum Requirements Must have a Master’s degree or foreign degree equivalent in Computer Science or a related quantitative field and six (6) years of machine learning and statistical analysis experience. The position also requires demonstrated knowledge and experience with the following: three (3) years of deep learning and large language model experience; three (3) years of Python experience; three (3) years of proficiency in selecting the right tools given a data optimization problem; addressing challenges from incomplete, unrepresentative, and mislabeled data; and large-scale distributed systems at scale and statistical software (e.g., Spark). This is a remote work position.