Aartificial intelligence, Design, Forecasting, Google BigQuery, Google Cloud Platform (GCP), Infrastructure as code, Python Programming, React.js
We’re looking for a foundational full-stack engineer to help drive Gridmatic’s initiative to transform the way companies decarbonize their energy supply. Gridmatic’s fast-growing energy business uses long-term ML forecasting to sign energy supply contracts with commercial and industrial customers.
You’d be responsible for building the end-to-end platform to help make this possible. You’d be working closely with the Cupertino-based ML team on how to integrate their long-term forecasting, as well as the Houston-based team to help scale up the business.
We seek strong builders who can take products from zero to one and can think deeply about business needs. You’d be working across the stack with Python, React, Postgres, BigQuery, Kubernetes, and GCP. You’ll be helping us build industry-first innovations to the clean energy space.
What you might work on
You might be a good fit if you:
$169,000 - $218,000 a year
Gridmatic Inc. is a high-growth ClimateTech startup based in the San Francisco Bay Area 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 4 years of profitable growth without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion.