Machine Learning Scientist

Tomorrow.io•Golden, CO

1d•$125,000 - $145,000

About The Position

The R&D Team at Tomorrow.io is a dynamic mix of scientists and engineers. Our mission is to generate the best and most novel data and models across all times: historical, real-time, and forecast. The story just begins when the data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that needs to be run quickly and continuously, in an operational environment. We are the team that builds the architecture behind the data and the models, preparing the weather analyses for the Product and Engineering team to serve the masses. We are seeking a Machine Learning Scientist to help improve Tomorrow.io’s weather forecast performance to deliver more accurate weather insights to our customers. In this role, you will apply atmospheric science knowledge and modern machine learning techniques to develop, evaluate, and operationalize forecast improvements across Tomorrow.io’s weather products. You will work collaboratively from proof-of-concept through deployment, focusing on measurable gains in forecast skill and reliability in an operational environment.

Requirements

Graduate degree in atmospheric science, meteorology, computer science, or a related field.
2+ years of professional experience applying deep learning to weather prediction or related geoscience problems.
Strong machine learning engineering fundamentals, including model training, validation, evaluation, and documentation.
Experience working in cloud-based computing environments.
Experience handling large meteorological datasets and common data formats at scale.
Experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow).
Strong written and verbal communication skills.
Ability to manage multiple projects and balance competing priorities.

Responsibilities

Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from Tomorrow.io’s satellite constellation.
Develop, verify, and document forecast improvements that provide measurable value to customers.
Partner with engineering and product teams to transition research advances into scalable, operational systems.
Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications.
Contribute broadly to improving Tomorrow.io’s forecast skill and overall product performance.