At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable. As part of a hardworking team of specialists, technicians, and engineers, you will be responsible for developing data‑driven models and workflows that accelerate the development of thermal protection system (TPS) materials and processes . You will combine your knowledge of materials science with machine learning and data analysis to help: define materials and process design spaces, build surrogate models and prediction tools, and guide TPS material screening and down‑selection using data‑driven methods. You will leverage your knowledge and expertise to curate materials data, develop and validate ML models, and work closely with M&P engineers to transition insights into TPS material and process development. The developed methods will be applied across multiple launch vehicles and test campaigns. You will share in the team’s impact on all aspects of reusable launch vehicles. We are looking for someone to apply their technical expertise, curiosity, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!