The Company
Gridmatic Inc. is a high-growth 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. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence.
We are looking for a Machine Learning Infrastructure Engineer to accelerate the decarbonization of the electricity system by building and optimizing the backbone of our ML platform. The ideal candidate will have solid expertise in machine learning, distributed systems and GPU-based training, and will design scalable, high-performance infrastructure for training, inference, and evaluation. They will push the boundaries of throughput and efficiency on large-scale time-series and weather datasets, while shaping the long-term vision of our ML platform and generalizing solutions for broader use. A successful candidate will thrive on continuous learning across engineering, ML systems, and energy markets, while contributing to a collaborative, mission-driven team. The ideal candidate must have strong deep learning fundamentals in addition to strong software engineering skills.
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