Atmospheric Engineer at Gridmatic

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Gridmatic

Atmospheric Engineer

us flag
United States

Hybrid

Full Time

#Engineering

#Clean Energy

#Machine Learning

#Python

#Linux

#Git

#Cloud Computing

Gridmatic is looking for a Atmospheric Engineer

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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.
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