Algorithms, Analytical and Problem solving, Data Modeling, Data structuring, Data Visualization, Effective communication skills, Forecasting, Keras software library, Linear Algebra, Machine learning techniques, Mathematical modeling, Probability, Python Programming, PyTorch, SQL, Statistical modeling
We are looking for a Machine Learning (ML) Engineer who can create forecasting models that help quickly decarbonize the electricity system. Machine Learning Engineer responsibilities include creating and improving machine learning models in rapid succession. To do this job well, you’ll need exceptional skills in statistics and programming. You’ll also enjoy it more if you care about fighting climate change and learning about electricity markets.
Responsibilities
Requirements
FAQ
What’s your policy on remote work?
We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of 50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.
How does the interview process work?
We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.
Join our team and make a difference! Click below or email us at careers@gridmatic.com.
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.