Atmospheric Scientist - Numerical modeling

Tomorrow.io is launching a satellite constellation of space-borne observing platforms to offer global observational coverage and to address the grand forecasting challenges. The Numerical Weather Prediction (NWP) team is developing data assimilation systems to provide the most accurate weather forecast at a global scale. We are looking for an Atmospheric Scientist with experience in numerical modeling and data assimilation to extract the maximum out of our proprietary observations.

What you'll do:
The goal of this position is to build a state-of-the-science global forecasting system capable of assimilating Tomorrow.io's observations (active microwave and sounders) on top of publicly available ones. We value and support open-source development, and we have decided to base our data assimilation (DA) system on the Joint Effort for Data assimilation Integration (JEDI) and the Unified Forecast System (UFS). You can expect to be an integral part of a full cycle of product development and operational implementation. Our immediate goal is to provide proof of value for our satellite network by designing and running Observation System Simulation Experiments (OSSEs). Beyond this, you can contribute in a wide variety of areas, from implementing radar DA into JEDI, to creating machine learning-based observation operators, to implementing robust forecast sensitivity - observation impact (FSOI) capabilities, or to improving the computational efficiency of our codes.

What you'll bring:
As an Atmospheric Scientist, you will contribute to the scientific and engineering advancement of the weather and forecasting capabilities, develop new forecasting capabilities for all the subsystems of the Earth, and apply your subject matter expertise as needed in support of our clients.

Competencies

• Ph.D. in numerical modeling in geosciences, e.g., meteorology, oceanography, or related fields
• At least three years of experience in developing data assimilation systems
• Knowledge of remote sensing methods such as radar, infrared and passive microwave radiometry, and forward modeling and retrieval techniques
• Experience with data assimilation (e.g., JEDI, GSI, DART) or model validation and verification (MET, xskillscore)
• Experience assessing instruments for operational use, preferably with (but not restricted to) Observation System Simulation Experiments (OSSEs) or observation system experiments (OSEs)
• Bonus: Interest in applying machine learning applications to forward and inverse modeling.
• A team player that exemplifies our company ethos: make an impact, show true grit, and put people first
• Creative and curious innovator - someone who displays a growth mindset when presenting with challenges beyond their current capabilities
• Excellent ability to communicate clearly and effectively with earth scientists, software engineers, data scientists

Tech Stack:
Python along with C++ or Fortran, HPC experience

So if you're looking to join a team that is at the forefront of innovation to help build the biggest weather platform in the world, this is the place for you! 

Please note: While this role is listed as Washington, DC, we are also looking for candidates in Golden, CO, Boston, MA or Bourne, MA. 

Anticipated salary range is $125K-$145K, subject to local market and a candidate’s skills and experience. Health, leave and other benefits included.

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About Tomorrow.io:

Tomorrow.io is helping Countries, Businesses and Individuals better manage their Climate Security Challenges. Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use Tomorrow.io to dramatically improve operational efficiency. Tomorrow.io was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.

Space: In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth. 

How we roll: We believe that magic happens when people work together. We believe in transparency and directness, putting work before ego, and empathy. Here, your success is achieved by your impact and deliveries and not by the hours you put in. We have flexible hours and unlimited vacation days policy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.