Senior AI Weather Scientist

Spire operates a hybrid work model with our colleagues coming onsite to a
Spire office 3x per week. This role must be based in either Boulder,
Colorado or Luxembourg.
What Youll Do:
Spires next-generation AI weather modeling is a big deal. A REALLY big
deal. As the Senior AI Weather Scientist on this team, youll work with
other meteorologists and AI experts helping to bring our AI forecast product
portfolio into focus and into the hands of our customers. These products
generate hundreds of hyper-accurate forecasts at once and can frame unique
probability distributions. You will play a pivotal role in advancing our
research and development efforts by developing purely data-driven weather
prediction models and more. This position offers the opportunity to
collaborate with interdisciplinary teams of scientists and engineers to push
the boundaries of weather prediction.
Contribute to the design, development, and implementation of purely
data-driven AI models for weather forecasting, including but not limited to
medium range forecasting and sub-seasonal forecasting.
Collaborate with meteorologists, scientists, and software engineers to
integrate domain knowledge into AI algorithms and models.
Stay abreast of the latest advancements in AI, meteorology, and related
fields, and evaluate their potential applications to enhance our proprietary
modeling.
Publish research findings in peer-reviewed journals, present at
conferences, and contribute to the academic and scientific community.
Provide mentorship and guidance to junior researchers and contribute to the
professional development of the team.
Engage with stakeholders from government agencies, academia, and industry
to understand their needs and requirements for weather forecasting solutions.
Who You Are:
You are a visionary, technical leader, and love to share your knowledge
and experiences with the world. You enjoy working on products as well as with
customers helping everyone all at once. You love weather and understand its
multi-trillion dollar impact to global economies which we at Spire aim to
help.
Experience in developing, training, and evaluating AI weather models like
as GraphCast, FourCastNet, and AIFS
Expertise in Python and commonly used AI/ML tools and frameworks.
Deep knowledge of traditional data assimilation and physics-based numerical
weather prediction.
A masters or Ph.D. in Meteorology, Atmospheric Science, Computer
Science or a related field.
#LI-JP1

The anticipated base salary range for this position is listed below. Final
base salary for this role will be based on the location, skills,
experience and qualifications. In addition to base compensation, this role
may be eligible for annual equity awards and our employee benefits program,
including vacation, sick, and personal time off; optional medical,
dental, vision, life, and disability coverage; a 401(K) plan;
health and wellness reimbursement program; and participation in Spires
Employe

Salary Range
$125,000 $200,000 USD

Global Perks
Name Your Satellite Program (NYSP)
Launch Attendance
Generous Time Off Policy
Education Assistance Program
Employee Assistance Program (EAP)
Employee Stock Purchase Program (ESPP)
Family Leave
Fitness Reimbursement
Employee Referral Program
Healthy snacks & beverages in every office

About Spire
Weimprove life on Earth with data from space.
Spire Global is a space-to-cloud analytics company that owns and operates the
largest multi-purpose constellation of satellites. Its proprietary data and
algorithms provide the most advanced maritime, aviation, and weather
tracking in the world. In addition to its constellation, Spires data
infrastructure includes a global ground station network and 24/7 operations
that provide real-time global coverage of every point on Earth.

Applying from California? Please review theCCPA Applicant Privacy Policy.
Applying from the EU? Please review Spires Privacy Polic .

Spire is Global and our success draws upon the diverse viewpoints, skills
and experiences of our employees. We are proud to be an equal opportunity
employer and are committed to equal employment opportunity regardless of
race, color, ancestry, religion, sex, national origin, sexual
orientation, age, marital status, disability, gender identity or
veteran status