Research Engineer

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.

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.

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.

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.