Senior AI/ML Engineer
Core
Build and ship forecasting models and data pipelines that transform weather, satellite, and climate data into risk and market signals for global ag & soft commodity supply chains.
Role type
Senior IC machine-learning engineer (spatial/time-series forecasting)
Builds
Production ML models, data pipelines, and forecast products for environmental and risk signals
Domain
Climate-tech, agricultural supply chains, remote sensing, quantitative risk modeling
Deliverable
production ML models
Required skills
Deep learning, statistical modeling, time series analysis, spatial data processing, Python scientific stack (PyTorch, scikit-learn, scipy, xarray), cloud infrastructure, experiment tracking, data orchestration
Preferred skills
Weather and climate data experience, remote sensing datasets, risk modeling, financial time series, commodity markets, backtesting systematic strategies
Technologies
PyTorch, scikit-learn, scipy, xarray, cloud infrastructure
Responsibilities
Build forecasting models for environmental and risk signals; extend weather platform with new forecast products; work with satellite data to build vegetation stress signals; take research from prototype to production; improve experiment design and evaluation protocols
Seniority
Senior, hands-on IC