Senior AI/ML Engineer

Pedestal Health is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable machine learning systems, particularly LLM applications, for real-world evidence solutions. The role translates AI research into production-ready systems and collaborates with engineering, research, data science, and product teams to support clinical research and healthcare decision-making.

Responsibilities:

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer
• Ensure robust monitoring, logging, and error handling for all deployed ML systems
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Pedestal Health’s platform
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences