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AI Weather Impact Forecasting Engineer

Paleon Data

Remote · $130k – $160k / year · Full-time · Posted 5 months ago

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About the role

Weather forecasts predict rain. Our models predict what rain does — to crop yields, energy demand, supply chain routes, and insurance claim volumes. We translate meteorological data into business impact predictions for clients across agriculture, energy, logistics, and financial services. The technical challenge is fusion. We combine numerical weather prediction outputs, satellite observations, ground sensor networks, and historical business outcome data into unified models that predict domain-specific impacts 7-30 days ahead. The meteorological data alone is 2TB per day; adding business context makes the feature engineering problem enormous and fascinating. You'll join a science team of four with deep domain expertise in climatology and risk modeling. Your role is the engineering bridge: turning research prototypes into production systems that serve forecasts to 40 enterprise clients via API. You'll also push the science forward — our last two hires published conference papers in their first year.

Fully remote.

Responsibilities

  • Build production impact forecasting models fusing weather and business data
  • Design feature engineering pipelines for multi-source temporal data
  • Optimize forecast accuracy for domain-specific impact metrics
  • Deploy and monitor forecast APIs serving 40 enterprise clients
  • Evaluate new data sources for forecast improvement potential
  • Contribute to research publications when findings warrant it

Requirements

  • 5+ years in time series modeling or geospatial data science
  • Experience with large-scale data fusion from heterogeneous sources
  • Strong Python, PyTorch, and distributed computing skills
  • Understanding of probabilistic forecasting and uncertainty quantification
  • Track record of shipping production ML systems

Benefits

  • Fully remote with flexible hours
  • 30 days PTO
  • Private health insurance
  • Research publication encouraged and supported
  • £4,000 annual conference and learning budget

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Categories

Data Science & Analytics AI & Machine Learning Engineers

Skills

python pytorch statistics spark aws

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

Data Science & Analytics AI & Machine Learning Engineers

Skills

python pytorch statistics spark aws sql

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