Senior Machine Learning Scientist, Climate & Hydrology
Boulder, CO USA; Cambridge, MA USA
USD 127K-231K Senior-level Full Time
Tasks
- Build reproducible workflows for data processing model training benchmarking and validation
- Collaborate across research engineering and data teams to translate goals into scalable execution
- Communicate findings through internal reviews external collaborations publications and technical presentations
- Define research priorities modeling directions and evaluation strategies
- Develop ML based modeling approaches with physical and Earth system science
- Guide assessment of model performance uncertainty and scientific robustness
- Lead scientific and technical efforts at intersection of hydrology climate science and machine learning
- Shape scientific roadmap and contribute to team growth and cross functional leadership
Perks/Benefits
Skills/Tech-stack
AWS | Data Assimilation | Hybrid Physics | Hybrid Physics Machine Learning | Machine Learning | PyTorch | Python | Spatiotemporal modeling
Education
Regions
Countries
States
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