Salary
💰 $160,000 - $205,000 per year
Tech Stack
KerasNumpyPandasPythonPyTorchScikit-Learn
About the role
- 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 looking for a Machine Learning (ML) Engineer to develop deep learning forecasting models to help quickly decarbonize the electricity system.
This is the ideal role for someone who wants to use their programming skills in a fast-paced environment, enjoys learning every day, and enjoys bouncing ideas off coworkers and collaborating on tough problems.
Requirements
- Proven experience as a Machine Learning Engineer or similar roles, such as internships or research experience.
Understanding of data structures, data modeling and software architecture.
Deep knowledge of math, probability, statistics and algorithms.
Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas).
Excellent skills in communication and teamwork.
Outstanding analytical and problem-solving skills.
BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or similar field; MS or PhD is a plus.