See Brightband at AMS 2025 Read more Opportunity
- Be one of the initial hires at a remote startup, started by experienced entrepreneurs, developing a transformative approach to earth system modeling.
- Build the world’s best weather forecast using an approach that learns directly from observational data.
- Join a multi-disciplinary team committed to open science and sharing results with the broader weather and climate communities.
Requirements
- MS or PhD in computer science, mathematics, machine learning, physics, atmospheric science, or equivalent industry experience.
- Practical experience in applying experimental ideas to real-world problems.
- Strong understanding of machine learning and statistical methods.
- Experience with Python-based ML frameworks such as PyTorch or JAX.
- Proficiency in running, tracking, and analyzing experiments, with the ability to instrument them with meaningful metrics and visualizations.
- Strong troubleshooting skills to diagnose and resolve issues in machine learning workflows.
- Ability to work independently.
- Flexibility and adaptability to work on diverse projects and pivot when necessary.
Great to Have
- Experience using ML architectures such as graph neural networks, transformers, or diffusion models.
- Experience working with physical sensor data.
- Familiarity with the basic principles of numerical weather prediction systems.
Responsibilities
- Collaborate with the founding team to push the boundaries of observation-driven ML weather forecasting.
- Identify and prototype promising techniques from the broader ML research community.
- Conduct experiments, analyze results, and scale up successful approaches.
- Develop methods for effectively handling a wide range of observational data types.
- Work with the broader engineering team to integrate ML models into our operational weather prediction system.
- Ensure high-quality engineering and research practices through code reviews and rigorous development standards.