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Chief Energy Modeling Expert

2 months ago

Cupertino, California, United States Gridmatic Full time

Company Overview

Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that accelerates the clean energy transition by applying expertise in data, machine learning, and energy to power markets.

We are a rare startup that has multiple years of profitability without raising venture capital. Our culture values teamwork, continuous learning, diversity, and inclusion. We move quickly, fix things, and prioritize environmental sustainability and data-driven decision making.

Job Description

We are seeking a Chief Energy Modeling Expert to expand our technology and accelerate the decarbonization of the electricity system. This role involves applied research and requires a deep understanding of forecasting techniques. The ideal candidate will develop the knowledge and understanding necessary to apply these techniques to energy markets.

The Chief Energy Modeling Expert will investigate new technologies to better solve problems we already model and design solutions to problems we don't yet solve. They will work to generalize these solutions so they can be applied more broadly, including on academic datasets for sharing with the academic community via publication.

Key Responsibilities:

  • Develop an understanding of mathematics and mechanisms of energy markets to discover and adapt appropriate methods to solve specific problems.
  • Stay up-to-date with the latest advances in ML research to consider promising methods for problems in the electricity market space.
  • Generalize and unify problem frameworks across electricity markets.
  • Design, perform, and analyze experiments for new ML techniques and consult on those tasks for others on the ML team.
  • Apply cutting-edge ML techniques to problems in the energy space.
  • Promote probabilistic thinking and rigor in statistical testing across the company.
  • Mentor machine learning engineers on modeling and communication of results (including for publication).
  • Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty.
  • Write, optimize, and review code, prioritizing performance and readability.

Required Skills and Qualifications

To succeed as our Chief Energy Modeling Expert, you should have at least 5 years of experience conducting (basic or applied) ML research. A strong publication record, including NeurIPS, ICLR, ICML, and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues, is also required.

A PhD in ML, statistics, or a related quantitative modeling field is essential. You should have deep knowledge of math, probability, statistics, and algorithms. Proven experience researching and implementing relevant machine learning models is also necessary.

You should be able to write robust code in Python and be familiar with ML frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn). Outstanding analytical and problem-solving skills, excellent mentorship, communication, and teamwork skills, and enthusiasm for learning are all important qualities.

Benefits

We offer a competitive salary of $220,000 - $280,000 per year, reflecting the importance of this role in driving our company's success. As a hybrid employee, you will spend 50% of your time working in our Cupertino office and the remaining time remote.

How to Apply