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 a data-driven, end-to-end learned approach.
Join a multi-disciplinary team committed to open science and sharing results with the broader weather and climate communities.

BS, MS, or PhD in computer science, mathematics, applied statistics, machine learning, physics, 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.

Expertise in developing and optimizing data loaders for various storage solutions.
Experience with distributed, multi-node training for machine learning models.
Proficiency with software environment management tools such as conda or Docker.
Familiarity with ML architectures such as Graph Neural Networks (GNNs), transformers, and diffusion models.
Experience working with physical sensor data.
Familiarity with the basic principles of numerical weather prediction systems.

Collaborate with the founding team to advance the state of the art in weather forecasting using a data-driven, end-to-end learned approach.
Identify and prototype promising ML approaches from the broader research community
Conduct experiments, analyze results, and scale up approaches that demonstrate experimental success.
Establish best practices and workflows for distributed training to ensure efficient and effective scaling of machine learning models.
Collaborate with our data engineering team to create efficient and maintainable data loading pipelines for a wide range of sensor data.
Promote engineering and research best practices by conducting code reviews and ensuring high-quality code.