Tomorrow.io is seeking a Machine Learning Scientist to improve the accuracy and reliability of their weather forecast products by developing, evaluating, and operationalizing advanced machine learning techniques and atmospheric science knowledge.
Requirements
- 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 environments.
- Experience handling large meteorological datasets and common data formats at scale.
- Experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow).
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.
Other
- Graduate degree in atmospheric science, meteorology, computer science, or a related field.
- Strong written and verbal communication skills.
- Ability to manage multiple projects and balance competing priorities.
- This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.
- Anticipated salary range for this role is $125k-$145k subject to local market and candidates skills and experience.
