Atmospheric Engineer
Hybrid
Full Time
#Engineering
#Clean Energy
#Machine Learning
#Python
#Linux
#Git
#Cloud Computing
Are you ready to tackle the climate crisis using the power of data? At Gridmatic Inc., we are a profitable, high-growth startup based in the Bay Area and Houston that is reshaping the clean energy transition. We combine sophisticated machine learning with deep energy market expertise to drive real-time optimization. We pride ourselves on a culture that prizes academic curiosity, teamwork, and integrity, and we are looking for someone who wants to move fast and solve meaningful problems.
Role at a glance
We are seeking a Senior Atmospheric Engineer to join our machine learning team on a full-time basis. This is a hands-on, individual contributor position where you will shape our weather modeling strategies and influence our core prediction systems. This role is based in the United States and operates under a hybrid work model, requiring you to be in the office for about half of your work week.
Your impact
- Research and develop our internal weather modeling capabilities by fine-tuning state-of-the-art AI models and recalibrating forecasts for our power prediction systems.
- Evaluate and integrate external weather products from providers like NOAA, while building and maintaining the data pipelines that keep our systems running.
- Optimize and monitor our AI weather models on GPU clusters and apply your expertise to broader time-series modeling challenges for energy price forecasting.
What you'll need
- A degree in Atmospheric Science, Meteorology, or a similar quantitative field.
- Proven experience working with large meteorological datasets and atmospheric models, including both NWP and AI-based systems.
- Strong proficiency in Python and experience using Machine Learning libraries.
- Comfort working within a Linux environment and managing code through Git.
- Experience running computational tasks in cloud computing environments or on high-performance clusters.
- The ability to communicate complex scientific concepts clearly to team members across different disciplines.
Perks and compensation
- Hybrid work environment with a 50% in-office policy to foster collaboration.
- The opportunity to work at a rare, profitable startup that is making a tangible impact on the clean energy sector.
- A collaborative, growth-oriented team that values continuous learning and diversity.
Gridmatic
6 views
