AI Weather Forecasting Scientist

Tomorrow; Northern (KY); Hybrid; USD 145,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

Relocation assistance

Job summary

Tomorrow.io seeks a Machine Learning Scientist to advance AI-based weather forecasting by combining atmospheric science with state-of-the-art ML methods. You will translate research into operational, customer-facing products and collaborate across disciplines.

The role emphasizes developing new observations-driven approaches, scalable ML pipelines, and communicating results to technical and non-technical audiences. Expect a dynamic, impact-driven environment.

Qualifications

• Graduate degree in atmospheric science, meteorology, CS, or related quantitative field.
• 2+ years of experience developing ML approaches for weather prediction or closely related geoscience problems.
• Hands-on experience training, evaluating, and working with deep learning models for atmospheric science.
• Strong understanding of ML development practices specific to atmospheric science, including experimental design, model evaluation, testing, documentation, and code review.
• Strong written and verbal communication skills and the ability to explain complex technical results to both technical and non-technical audiences.
• Experience conducting independent research, demonstrated through publications, research leadership, open-source contributions, or other technical work.

Responsibilities

• Conduct research and development at the intersection of machine learning and weather prediction.
• Develop, train, evaluate, and improve AI-based weather prediction models, with a focus on measurable improvements in forecast skill and customer value.
• Develop approaches to maximize the value of observations from Tomorrow.io’s satellite constellation for weather prediction.
• Explore machine learning approaches for incorporating observations into forecast systems, including ML-based data assimilation and related methods.
• Work with large atmospheric and geophysical datasets and build reproducible, maintainable ML workflows.
• Collaborate with scientists and engineers to transition successful research from proof-of-concept into scalable, operational systems.
• Communicate results clearly through internal reviews, technical discussions, and, where appropriate, conferences and peer-reviewed publications.

Skills

Machine learning

Deep learning

Communication

Collaboration

Research leadership

Education

Atmospheric science degree

CS or related degree

Tools

TensorFlow

PyTorch

ML pipeline tools

Job description

Tomorrow.io seeks a Machine Learning Scientist to advance AI-based weather forecasting by combining atmospheric science with state-of-the-art ML methods. You will translate research into operational, customer-facing products and collaborate across disciplines.

The role emphasizes developing new observations-driven approaches, scalable ML pipelines, and communicating results to technical and non-technical audiences. Expect a dynamic, impact-driven environment.