Design, build, and ship full-stack features for wildfire resilience and utility platforms using Elixir, Phoenix, and geospatial data. Collaborate with cross-functional teams to integrate scientific models and deliver intuitive tools for land management and risk assessment.
The ML Engineer will develop and operationalize deep learning models to estimate forest structure metrics from remotely sensed data. They will also integrate these models into automated production pipelines and facilitate cross-team collaboration between science and engineering departments.
The Senior Product Manager will lead the development of utility applications, owning the product roadmap and customer research from early-stage to scale. They will collaborate with cross-functional teams including fire science, engineering, and design to deliver impactful solutions for wildfire and infrastructure resilience.
Design and build full-stack features for wildfire resilience and utilities platforms using Elixir, Phoenix, and Postgres. Collaborate with cross-functional teams to integrate geospatial models into intuitive user-facing workflows for land managers.
