Atmospheric Science Research Lead for AI Weather Models

Kindredventures; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Kindred Ventures seeks a senior atmospheric scientist to lead data-driven forecasting research. You will shape data collection, validate atmospheric inputs, and guide verification of our physics-inspired weather model.

You will collaborate with ML researchers to translate domain knowledge into actionable research directions, publish results, and contribute to product strategy. A PhD and strong publication record are highly desirable.

Qualifications

• PhD or equivalent research experience in atmospheric science or related field.
• Experience with forecast verification methods is preferred.
• Strong data analysis and modeling skills required.

Responsibilities

• Guide sourcing and validation of atmospheric data and observation systems.
• Define forecast quality metrics and verification strategies.
• Run case studies on high impact weather events to test model behavior.
• Benchmark against numerical weather prediction baselines and literature.
• Collaborate with ML researchers to translate domain knowledge into technical requirements.

Skills

Atmospheric science

Numerical weather prediction

Data analysis

Interdisciplinary collaboration

Education

PhD in atmospheric science or related field

Job description

Kindred Ventures seeks a senior atmospheric scientist to lead data-driven forecasting research. You will shape data collection, validate atmospheric inputs, and guide verification of our physics-inspired weather model.

You will collaborate with ML researchers to translate domain knowledge into actionable research directions, publish results, and contribute to product strategy. A PhD and strong publication record are highly desirable.