Z

Co-Founder & Machine Learning Lead (Geospatial Intelligence)

zohardi • United States
Full Remote
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Lead the development of computer vision and machine learning models for geospatial intelligence, focusing on aerial and remote sensing imagery. Own the modeling, training, and deployment pipeline, build the ML team, and shape the company’s technical direction. Requires 7+ years of applied ML, 3+ years owning production computer vision models, and expertise in real-time detectors, continual learning, and human-in-the-loop systems.

Key Responsibilities
Lead the development and deployment of computer vision and machine learning models for geospatial intelligence.
Own the modeling, training, and evaluation pipeline for models that analyze aerial and remote sensing imagery.
Build and lead the machine learning team, and shape the company’s technical direction as a co-founder.
Ensure continual learning, adaptation, and change detection in models with minimal human intervention.
Implement human-in-the-loop labeling systems with active learning and quality audits.
Technical Skills Required
Machine Learning Computer Vision Model Deployment & MLOps
Benefits & Perks
Co-founder title with salary and equity
Remote work within the United States
Field-based work on working land
Nice to Have
Experience with drone/aerial/satellite imagery and geospatial applications.
Knowledge of multispectral or thermal data processing.
Edge optimization with TensorRT or ONNX Runtime.
Experience with Databricks platform (Unity Catalog, Delta Lake, etc.).
Publications or open-source contributions in related fields.

Job Description

The role

Zohardi is looking for a co-founder to lead machine learning. You’ll own the models that turn every flight into findings about the land, including how they learn each new property, how they’re evaluated, and how they improve safely as we grow.

You’ll lead the modeling and training loop for a computer vision system that learns from aerial and remote sensing imagery over time. It has to learn each new property quickly, keep what it already knows, and spend people’s time only where it adds the most. This is a founding role. You’ll set the technical direction for machine learning, build the team around it, and help shape the company with the founding team.

What you’ll own

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