Design and maintain scalable data pipelines, ETL workflows, and infrastructure for training and serving ML models in production. Partner with Research and Data Science teams to implement monitoring, observability, and infrastructure as code on cloud platforms.
Build and scale operational, commercial, and organizational systems to support the company's mission. Work cross-functionally with engineering, product, and research teams to drive alignment and execute on high-stakes problems.
Define and drive the product vision by translating complex systems problems into human-centered experiences. Collaborate with engineering, data, and research teams to own the product roadmap and ship high-quality product experiences.
Develop and validate novel methods for modeling complex interconnected systems at the intersection of graph theory and machine learning. Collaborate with engineering and clinical experts to transition research findings into production and publish results that advance the field.
Design, implement, and maintain scalable software systems and resilient infrastructure for high-availability data serving. Collaborate with cross-functional teams to drive technical planning, engineering strategy, and CI/CD processes in an agile environment.
