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AI Agricultural Yield Prediction Engineer

Kelvix Systems

Remote · $100k – $130k / year · Full-time · Posted 5 months ago

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About the role

Predicting crop yields months before harvest transforms how agricultural supply chains operate — commodity traders price futures, food companies plan inventory, and insurance providers assess risk. Our prediction models combine satellite imagery (vegetation indices, soil moisture, canopy health) with weather forecasts, soil data, and historical yield records to produce field-level yield estimates 3 months before harvest. The current model handles corn and soybeans in the US Midwest well (8% MAPE) but accuracy degrades for specialty crops, international regions, and years with extreme weather. You'll extend the model to new crop-region combinations, improve robustness to weather anomalies, and build the uncertainty quantification that tells clients how much to trust each prediction. The agricultural intelligence team is five engineers. You'll work alongside a remote sensing specialist who handles satellite data processing and an agronomist who validates predictions against ground-truth yield data from cooperating farms.

Fully remote.

Responsibilities

  • Extend yield prediction models to new crop types and geographic regions
  • Improve prediction robustness under extreme weather conditions
  • Build uncertainty quantification for prediction confidence intervals
  • Design feature engineering from satellite, weather, and soil data sources
  • Validate predictions against ground-truth yield data from cooperating farms
  • Evaluate new satellite data products for prediction improvement potential

Requirements

  • 3+ years in remote sensing ML, agriculture tech, or geospatial data science
  • Experience with satellite imagery analysis and vegetation indices
  • Strong Python and PyTorch skills for model development
  • Understanding of time series forecasting and uncertainty estimation
  • Comfort working with domain experts from non-technical backgrounds

Benefits

  • Fully remote with flexible hours
  • Health, dental, and vision insurance
  • $3,000 professional development fund
  • Impactful work on global food security
  • Annual team retreat

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Categories

Data Science & Analytics AI & Machine Learning Engineers

Skills

python pytorch computer vision statistics gcp

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

Data Science & Analytics AI & Machine Learning Engineers

Skills

python pytorch computer vision statistics gcp sql

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