Atmospheric Scientist
Atmospheric Scientist
Posted on :
11-05-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
11-05-2025
Job Description
The Company
Gridmatic Inc. is a highgrowth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data machine learning and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork continuous learning diversity and inclusion. We move quickly and fix things. We are environmentally and datadriven with a growthoriented academic mindset. We value integrity as much as excellence.
The Role
We are looking for an Atmospheric Scientist to apply their deep expertise to directly influence our models and strategies contributing to the clean energy transition. This is a handson individual contributor role where you will leverage your scientific knowledge and technical skills in a fastmoving impactful startup environment. You will explore evaluate and integrate complex atmospheric data and models into our prediction systems which drive realtime energy trading and optimization decisions. You will collaborate closely with our ML engineering and data science teams teaching others about weather phenomena while learning about grid power dynamics and timeseries modeling techniques.
What you might work on:
Research and develop & Internal Weather Models:
Engaging in more openended research and development to build or refine our own weather modeling capabilities.
Finetuning existing stateoftheart AI models (e.g. based on GenCast AIFS and NeuralGCM).
Postprocessing existing SOTA AI forecasts to debias and recalibrate for our downstream power predictions.
Incorporating and evaluating model changes pushing the boundaries of how we forecast weather variables relevant to the energy sector.
Educate and inform the broader team about atmospheric phenomena and weather forecasting concepts.
Potential to publish research and findings derived from your work contributing to the scientific understanding at the intersection of atmospheric science and energy where appropriate and aligned with business goals.
Evaluating & Integrating External Weather Products:
Surveying and evaluating the suitability of various Numerical Weather Prediction (NWP) and commercially available AI weather forecast products for our power production and price models.
Rigorously evaluating and monitoring the performance of integrated weather products analyzing their impact across different regions timeframes and weather regimes.
Working with external data providers (like NOAA) and internal engineers to define data requirements.
Work with engineers to build monitor and maintain data ingestion pipelines.
Evaluating & Running AI Weather Models Inhouse:
Develop evolving metrics for AI weather models for our unique specifications.
Work with engineers to set up run and monitor SOTA AI weather forecasts on our GPU cluster.
Generic Time Series Modeling:
You might also apply your modeling skills to improve generic time series models for power production or energy price forecasting using ML libraries like PyTorch or JAX.
Across all workstreams you will be expected to:
Write and maintain significant Python code within a Gitbased software development workflow.
Continuously learn about grid power modeling and the intricacies of energy markets.
You might be a good fit if you:
- Have earned a PhD in Atmospheric Science Meteorology or a closely related quantitative field.
- Have significant experience working with atmospheric models (NWP and/or AI models) and large meteorological datasets.
- Possess strong proficiency in Python programming.
- Are comfortable working in a Linux environment and using Git for version control.
- Have experience running computational jobs on clusters or cloud computing environments.
- Have a demonstrated ability to analyze and interpret complex scientific data and model outputs.
- Are an effective communicator able to explain complex weather concepts to nonexperts.
- Are naturally curious and eager to learn about new domains particularly energy systems and timeseries modeling.
- Thrive in a fastpaced dynamic startup environment where priorities can evolve
$180000 $280000 a year
You will also receive Stock Options (ISOs)
Taking care of you today:
Continuing Education Opportunities
Flexible PTO
Medical Dental and Vision plans with competitive employer contributions
PreTax commuter benefits
$1500/year non profit donation matching program through Millie
Home Office Stipend
Protecting your future for you and your family:
401K contribution match up to 4%
Companypaid parental leave
Company Paid Life Insurance
FAQ
Whats your policy on remote work
We value the ability to work and collaborate inperson in our early stage as a startup so Gridmatic has a hybrid policy of 50% inoffice. Most of the company works in our Cupertino office 2 or 3 days a week.
Join our team and make a difference! Click below or email us at
Employment Type
Full-Time
Department / Functional Area
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