Machine Learning Research Engineer, Model Evaluation

Windborne Systems
Redwood City
Workplace: HybridFull timeUSD 140,000 - 240,000 annuallyFunction: Data Science & Machine LearningSkills: ["Scientific judgment","Skepticism","Experimental taste","Systems thinking","Technical communication"]

Evaluate and improve AI weather model performance by working with the Meteorology team to design rigorous, meteorologically valid comparison strategies. Build fast, reproducible evaluation workflows and reusable infrastructure, and enhance agentic tooling for investigating forecasts and synthesizing results. Communicate findings through clear scorecards, visualizations, and explanations that capture uncertainty and caveats for researchers, leadership, customers, and partners.

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FursaFursa
Windborne Systems
Windborne Systems
1 month ago

Machine Learning Research Engineer, Model Evaluation

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Last checked: 7 minutes agoStatus: Live

Job Summary

Evaluate and improve AI weather model performance by working with the Meteorology team to design rigorous, meteorologically valid comparison strategies. Build fast, reproducible evaluation workflows and reusable infrastructure, and enhance agentic tooling for investigating forecasts and synthesizing results. Communicate findings through clear scorecards, visualizations, and explanations that capture uncertainty and caveats for researchers, leadership, customers, and partners.
Location: Redwood City
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop a rigorous evaluation strategy with the Meteorology team, selecting metrics, datasets, baselines, and case studies to assess forecast quality.
  • •Build fast evaluations that provide useful signals and turn recurring analyses into reliable, reusable evaluation infrastructure.
  • •Improve existing evaluation infrastructure, including agentic AI-based tools for investigating forecasts and synthesizing results.
  • •Create clear scorecards, visualizations, and explanations, communicating performance with uncertainty and important caveats.

Pay and Benefits

Salary: USD 140,000 - 240,000 annually
Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

  • •Excellent scientific judgment and skepticism to judge whether comparisons are fair and what evidence would change conclusions.
  • •Strong experimental taste to identify the evaluation that answers the question that matters and distinguish improvement from noise.
  • •Systems thinking to decide what should become reusable evaluation infrastructure as you solve today’s problems.
  • •Experience evaluating ML systems using large scientific, geospatial, multidimensional, or time-series datasets.
  • •Strong Python skills plus experience with scientific/ML tools such as PyTorch, NumPy, pandas, or xarray.
Experience:GeospatialTime-seriesScientific datasetsMachine learning
Skills:Scientific judgmentSkepticismExperimental tasteSystems thinkingTechnical communication
Tech Stack:PythonPyTorchNumPyPandasXarray

Company Brief

Windborne Systems
Develops airborne systems and technologies for wind measurement, environmental monitoring, and renewable energy applications, focusing on hardware design, sensor integration, and data solutions to support wind resource assessment and operational monitoring.
Industry: Climate Tech
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