Remote Jobs at Gridmatic

- Master’s degree in Electrical Engineering or Power Systems Engineering with a minimum of 4 years of experience in the electric power industry or a Ph.D. in Electrical Engineering or Power Systems Engineering with coursework in power network applications - Experience with collaborative software development in Python and/or other languages - Knowledge of optimization techniques (e.g., convex optimization, stochastic optimization, robust optimization, etc.) - Knowledge of performing power systems…

Candidates must possess a PhD in Machine Learning, statistics, or a related quantitative modeling field. A strong publication record in top-tier ML conferences (NeurIPS, ICLR, ICML) or on forecasting and generative/probabilistic models is required. Proven experience researching and implementing deep learning models, deep knowledge of math, probability, statistics, and algorithms, and fluency in Python with ML frameworks (Keras, PyTorch) and libraries (scikit-learn, numpy, pandas) are essential. …

- 4+ years of experience in data analytics, operations, or regulatory roles, ideally within the energy or utilities sector - Proven ability to analyze complex problems and present data-driven recommendations - Strong Microsoft PowerPoint, Excel, and communication skills—able to distill technical information into clear, actionable insights - Self-starter with the ability to work independently and thrive in a fast-paced, evolving environment - Knowledge of U.S. power markets, including ERCOT and P…

- 3+ years of experience as an engineer - Deep understanding of codebases and ability to write readable, scalable code - Experience researching and implementing deep learning models - Experience in distributed training and inference of large models on GPU clusters, utilizing PyTorch, PyTorch Lightning, and Ray - Comfortable with large-scale data storage infrastructure and formats (e.g., Zarr, SQL, feature stores) - Strong sense of independence and ownership - Mission-driven and enthusiastic abou…

- Bachelors degree in a technical field (e.g., Engineering, Data Science, Mathematics etc.) - Ability to analyze and summarize data - Ability to produce visualizations and dashboards that demonstrate analysis conclusions - Experience with data extraction and manipulation (SQL, BigQuery, Jupyter, or Python) - Inexhaustible attention to detail - Proficient in Microsoft Excel and PowerPoint - Excellent communication and teamwork skills - Self-starter with excellent judgment, integrity, reliability …