Senior Machine Learning Scientist, Climate & Hydrology

Flagship Pioneering

Boulder, CO, USA
Colorado: $127,000 - $205,900; massachusetts: $168...
On-site
Phd in quantitative discipline
5+ years postdoctoral or industry experience
Python programming skills
This role sits at the intersection of hydrology, weather, and climate science to lead the development of next-generation prediction systems

Job Summary

  • This role sits at the intersection of hydrology, weather, and climate science to lead the development of next-generation prediction systems.
  • The successful candidate will define research priorities and guide model training using large-scale climate, weather, and remote sensing datasets.
  • Flagship Pioneering is recognized twice on FORTUNE's 'Change the World' list for its impact on sustainability and human health.

Matching Summary

This role sits at the intersection of hydrology, weather, and climate science to lead the development of next-generation prediction systems.

Salary

Colorado: $127,000 - $205,900; Massachusetts: $168,000 - $231,000; Not specified

Skills & Requirements

Must-have

  • PhD in quantitative discipline
  • 5+ years postdoctoral or industry experience
  • Python programming skills
  • PyTorch framework experience
  • Large-scale climate dataset handling
  • Spatiotemporal modeling expertise

Nice-to-have

  • AWS cloud infrastructure experience
  • Hybrid physics-ML methods background
  • Cross-functional team leadership
  • Peer-reviewed publication track record
  • Mentoring researchers experience

Key Requirements

  • PhD in Machine Learning, Computational Science, Earth Science, or related field
  • 5+ years of applied research experience in climate ML or hydrologic modeling
  • Strong technical writing and communication skills for publications
  • Ability to design rigorous evaluation frameworks for environmental predictions

Work Rights

Not specified

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