Senior AI Weather Scientist - Spire
Boulder, CO
About the Job
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 You'll Do:
Spire's next-generation AI weather modeling is a big deal. A REALLY big deal. As the Senior AI Weather Scientist on this team, you'll 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 it's 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 master's 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 Spire's Employee Stock Purchase Plan.
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
We improve 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, Spire's data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.
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.
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