Machine Learning Scientist

tomorrow; Golden (CO); On-site; USD 110,000 - 180,000; Full time

Job summary

Tomorrow.io seeks a Machine Learning Scientist to advance AI weather prediction by combining atmospheric science with state-of-the-art ML methods. You will translate research into operational forecasting, leveraging Tomorrow.io's microwave sounder observations and large geophysical datasets.

You will collaborate across disciplines, publish results when appropriate, and contribute to production-ready ML workflows that impact customers and products.

Qualifications

• Graduate degree in atmospheric science, meteorology, computer science, or related quantitative field.
• 2+ years of experience developing ML approaches for weather prediction; relevant PhD may count.
• Hands-on experience training, evaluating, and deploying deep learning models for atmospheric science.
• Strong ML development practices: experimental design, model evaluation, testing, documentation, and code review.
• Strong written and verbal communication; ability to explain complex results to technical and non-technical audiences.
• Evidence of independent research through publications or open-source contributions.

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 measurable forecast skill improvements.
• Develop approaches to maximize value of observations from Tomorrow.io's satellite constellation.
• Explore ML approaches for incorporating observations into forecast systems (ML data assimilation).
• Work with large atmospheric datasets and build reproducible ML workflows.
• Collaborate with scientists and engineers to transition research to scalable, operational systems.
• Communicate results through internal reviews, discussions, and conferences/publications.

Skills

ML for weather

Deep learning

Experiment design

Communication

Education

Atmospheric science degree

ML for weather

Job description

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 with experience in AI weather prediction to help advance Tomorrow.io's next-generation forecasting capabilities. In this role, you will combine atmospheric science expertise with state-of-the-art machine learning methods to improve forecast skill, including developing new ways to leverage observations from Tomorrow.io's microwave sounder constellation. You will work collaboratively from proof-of-concept through deployment, with a focus on translating research advances into operational, customer-impacting products.

What you'll do:

• 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.

What you bring:

• Graduate degree in atmospheric science, meteorology, computer science, or a related quantitative field.
• 2+ years of experience developing machine learning approaches for weather prediction or closely related geoscience problems. Relevant PhD research developing ML models may count toward this experience.
• Hands-on experience training, evaluating, and working with deep learning models for atmospheric science.
• Strong understanding of ML development best 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. Demonstrated ability to collaborate across disciplines and deliver high-quality work.
• Experience conducting independent research, demonstrated through publications, research leadership, open-source contributions, or other technical work.

Nice to have:

• Knowledge of or experience with data assimilation, including traditional and/or machine-learning-based approaches, is a strong plus.
• Knowledge of satellite remote sensing and experience working with satellite observations.
• Experience developing production-quality scientific or machine learning software.
• Familiarity with modern architectures used in weather and geoscience ML, including graph neural networks and transformers.
• AI-first mentality towards research and development (e.g., using AI-assisted development tools)

So, if you're looking to join a team that is not only at the forefront of innovation but also working towards building the biggest weather platform in the world, this is the place for you! Tomorrow.io is on a mission to build a special company. We are focused on hiring people with different backgrounds, perspectives, and experiences to achieve our goal.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affidative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Tomorrow.io participates in the E‑Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining eq