Neural Earth is a company focused on providing clarity to physical risk through a decision intelligence platform that unifies various data sources. They are seeking a Staff AI/ML Engineer to advance their multimodal and satellite imagery capabilities by designing and deploying deep learning models that transform geospatial data into critical insights. The role involves mentoring team members, architecting ML infrastructure, and aligning technical efforts with business goals.
Responsibilities:
- Develop: Own the end-to-end design and deployment of advanced Deep Learning models; success is a seamless pipeline from raw data to production-ready insights that perform reliably at scale
- Architect: Own the technical foundation of our ML infrastructure; success is a robust framework of registries and inference services that allow the team to iterate rapidly without breaking production systems
- Mentor: Own the technical growth and code quality of your team; success is a high-performing, cohesive unit where best practices in reproducible research and model governance are the team standard
- Align: Own the translation of product vision into technical roadmaps; success is a clear development priority list that proactively identifies architectural risks before they impact business timelines
- Innovate: Own the evaluation of emerging technologies; success is the strategic integration of state-of-the-art research that provides Neural Earth a measurable competitive advantage