ML Researcher, World Models

Geolava builds spatial intelligence systems that use world models to simulate and forecast the evolution of the physical world. The ML Researcher will develop world models for properties and infrastructure, conduct rigorous experiments on large-scale geospatial data, and translate successful research into production capabilities for the company’s platform.

Responsibilities:

• Design, train, and evaluate world models of the built environment that predict how assets change over time and in response to interventions and external forces
• Develop representation learning and predictive modeling approaches over multi-temporal aerial and satellite imagery, property records, and other physical and administrative signals
• Build rigorous evaluation for a domain with no public benchmarks: baselines, held-out temporal splits, calibration, and tests that distinguish genuine forecasting skill from leakage
• Run experiments on cloud GPUs with attention to throughput and cost, and turn results into clear, decision-ready writeups
• Work with the AI and engineering teams to take successful research into production as capabilities in Geolava's platform
• Stay current with the world-model, self-supervised learning, and generative modeling literature, and bring the ideas that matter into our work