[ES_JOBS_NET] Meteorological Scientist - Data Assimilation and NWP, WindBorne
Christine Wiedinmyer
christinew at ucar.edu
Mon Aug 31 09:44:25 MDT 2026
https://windbornesystems.com/careers/meteorological-scientist-data-assimilation-and-nwp
WindBorne Systems is supercharging weather forecasts with a unique
proprietary data source: the largest balloon constellation in the world.
WindBorne Atlas is backed by next-generation smart weather balloons
targeting the most critical atmospheric data. We design, manufacture, and
operate our own balloons, using the data they collect to generate otherwise
unattainable weather intelligence.
Our mission is to eliminate weather uncertainty, and in the process help
humanity adapt to climate change, be that predicting hurricanes or speeding
the adoption of renewables. We are building a future in which the planet is
instrumented by thousands of our microballoons, eliminating gaps in our
understanding of the planet and giving people and businesses the
information they need to make critical decisions. The founding team of
Stanford engineers was named Forbes 2019 30 under 30 and is backed by
top-tier investors, including Khosla Ventures and Footwork VC.
WindBorne is seeking a Meteorological Scientist to contribute to the
improvement of weather forecasting and observational analyses. As a member
of the weather team, you’ll incorporate WindBorne’s unique state-of-the-art
balloon constellation observations into the most advanced weather
prediction systems. You’ll work with our team of scientists, engineers and
flight controllers to influence the collection and use of observations from
start to finish, beginning with balloon flight and ending with insights to
help consumers, businesses and governments adapt to changing weather and
climate.
Responsibilities
- Evaluate and optimize the impact of WindBorne’s balloon observations
across traditional and AI-based data assimilation
- Work closely with the Machine Learning team to help advance AI-based
data assimilation techniques that drive WindBorne’s WeatherMesh AI forecast
system
- Design visualizations and analyses that demonstrate the impact of
WindBorne's in-situ observations on forecast quality for both scientific
and business audiences
- Refine and develop quality control algorithms for WindBorne's in-situ
observations
- Communicate technical findings to scientific, government, and business
stakeholders
Skills and Qualifications
- Strong background in atmospheric sciences and weather analysis
- Experience with data assimilation and numerical weather prediction,
including familiarity with how observations improve forecast skill
- Demonstrated ability to work with observational data including weather
radar, weather satellite, surface and upper air observations
- Experience using LLMs to implement code
- Strong understanding of statistical methods, especially those used to
validate observation quality and verify weather forecasts
- Willingness to work across unfamiliar domains and learn new skills
quickly
- Master’s or Ph.D. in Atmospheric Sciences, Meteorology, or related
field preferred
- Scrappiness
*Additional Beneficial Skills*
- Experience developing data assimilation and NWP systems including GSI,
JEDI, GFS/FV3 and MPAS.
- Scientific programming experience using Python, Fortran and/or C/C++
- Experience with instrumentation used for collecting weather
observations including instrument design, calibration and quality control
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
- Unlimited PTO
- Stock Option Plan
- Office food and beverag
Salary
- $110,000 - $150,000** We are considering a range of backgrounds and
experience levels for this position and adjust our offers accordingly to be
competitive with market rates.
Location
We are located at 1600 Bridge Pkwy, Redwood City, CA with opportunities for
work in Redwood Shores and Washington, DC. In-person Preferred
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20260831/c6d533ba/attachment-0001.htm>
More information about the Es_jobs_net
mailing list