Machine Learning Research Engineer, Model Evaluation
WindBorne SystemsWeather Intelligence company
Redwood City, United States$140K–$240KMid
Khosla Ventures
Pear VC
Susa Ventures
Footwork VC
Convective Capital
Ubiquity Ventures
Data & AI
About the role
TL;DR
Evaluate AI weather models, combining ML and meteorology for robust performance assessment.
- •WindBorne Systems is seeking a Machine Learning Research Engineer to evaluate their AI weather models.
- •This role involves working at the intersection of machine learning and meteorology to assess model performance across various conditions and customer needs.
- •Key Responsibilities Develop rigorous evaluation strategies for comparing AI and physics-based weather models.
- •Build fast feedback systems and durable infrastructure for recurring analyses.
- •Improve evaluation infrastructure with agentic AI-based tools.
- •Communicate model performance clearly through scorecards, visualizations, and explanations.
- •Requirements Excellent scientific judgment and skepticism.
- •Strong experimental taste to identify meaningful evaluations.
- •Systems thinking for building reusable infrastructure.
- •Experience evaluating ML systems with large, scientific, geospatial, or time-series datasets.
- •Strong Python skills and experience with ML tools like PyTorch, NumPy, pandas, or xarray.
Required skills
PythonPyTorchNumPyPandas
Domain expertise
climatetechdeeptechaerospace
Benefits & perks
401(k), Dental, health, and vision insurance, Unlimited PTO, Stock Option Plan, Office food and beverages
Tech stack
PythonPyTorchNumPyPandas