Full-Time
Machine Learning Engineer
Posted on 4/18/2024
AI-enabled clean energy optimization for markets
Energy
AI & Machine Learning
Senior
Cupertino, CA, USA
Required Skills
Python
Data Structures & Algorithms
Keras
Pytorch
Pandas
NumPy
Requirements
- Proven experience as a Machine Learning Engineer or similar role.
- 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.
Responsibilities
- Design state-of-the-art machine learning models for the electricity grid.
- Research and implement ML algorithms and tools for generative time-series forecasting.
- Extend existing ML libraries and frameworks.
- Run tests and experiments to rapidly iterate and improve production models.
- Monitor and maintain the quality of existing models.
- Put creative approaches to the test with fast, revenue-impacting results.
Gridmatic is an AI-enabled power marketer that optimizes clean energy in electricity markets, increasing revenue for merchant battery systems by predicting prices and managing risk. The company leverages AI and electricity markets to increase profitability of renewable energy assets and optimize revenue for energy suppliers, storage owners, and consumers.
Company Stage
N/A
Total Funding
$46M
Headquarters
Cupertino, California
Founded
2020
Growth & Insights
Headcount