Senior Machine Learning Engineer

The Senior Machine Learning Engineer will build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes, delivering scalable machine learning solutions to complex, real-world problems in clinical research. They will develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. The engineer will leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale, using technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date. They will also collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the platform and ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users, continuously learning and innovating to stay up-to-date with the latest developments in ML/AI.