About the job
Gridmatic is a cutting-edge startup that is reshaping the energy sector by providing affordable, clean energy solutions through the optimization of renewable resources and grid-scale batteries. With a strong presence in both the Bay Area and Houston, we blend innovative thinking typical of Silicon Valley with robust, practical expertise in energy markets and retail.
As solar and wind energy emerge as the fastest-growing electricity sources, the fluctuations caused by weather conditions and grid dynamics lead to greater volatility in energy prices. At Gridmatic, we confront this challenge head-on with advanced forecasting and optimization techniques, empowering our team to solve meaningful problems. Our core operations revolve around energy forecasting and trading, utilizing extensive datasets, weather patterns, pricing, load data, and grid conditions, to develop probabilistic machine learning forecasts that inform critical operational decisions. This work directly influences when energy is purchased, stored, or utilized, transforming uncertainty into tangible value for our customers and the grid.
Our success is quantifiable. Gridmatic stands as the most profitable entity in ERCOT’s wholesale market and operates the leading battery asset in CAISO. Without relying on venture capital, we foster a collaborative, low-ego work culture, where rigorous analysis, autonomy, and ongoing learning are fundamental principles.
About Us:
Gridmatic is on a mission to decarbonize the grid utilizing deep learning to enhance energy price forecasting. We believe that improved forecasting can significantly impact energy consumption and climate change. As extreme weather events become more frequent, the volatility in energy prices escalates, an example being the Texas market where prices can surge up to 50 times higher during extreme conditions. In such instances, the necessity for accurate forecasting becomes paramount.
We leverage our machine learning (ML) forecasting and optimization capabilities to participate in energy markets, enhance the efficiency of large-scale battery storage systems, and supply energy to businesses, shielding them from severe price fluctuations. Our deep learning models have achieved substantial success in energy trading, currently managing multiple significant battery systems (50MW+) and providing energy to hundreds of businesses.
We boast a formidable team with extensive expertise in ML, energy, and optimization. If you are passionate about tackling intricate real-world challenges, working with large-scale data, and applying ML to climate and energy solutions, we would be thrilled to connect with you.
The Opportunity:
We seek a skilled engineer to spearhead the scaling and reliability of our data infrastructure, which is essential to the machine learning initiatives at Gridmatic.
