Lead AI Research Engineer
2 weeks ago
Gridmatic Inc. is a rapidly growing startup dedicated to enhancing the clean energy transition through our expertise in data analytics, machine learning, and energy systems. Our operations span the Bay Area and Houston, and we pride ourselves on being a profitable entity without reliance on venture capital.
We foster a workplace culture that emphasizes teamwork, continuous learning, diversity, and inclusion. Our approach is both environmentally conscious and data-driven, underpinned by a growth-oriented and academic mindset. Integrity is as important to us as excellence.
Position OverviewWe are seeking a Senior AI Research Scientist to broaden the scope of our technological capabilities as we strive to expedite the decarbonization of the electricity sector.
This position entails applied research, requiring the ideal candidate to have a profound understanding of forecasting methodologies and the ability to apply this knowledge within energy markets.
The successful candidate will:
- Explore innovative technologies to enhance existing models and design solutions for unaddressed challenges.
- Generalize these solutions for broader applications, including academic datasets for potential publication.
- Engage in continuous learning across engineering, mathematical concepts, economics, and electricity market dynamics.
Your work may involve:
- Developing a comprehensive understanding of the mathematical frameworks and mechanisms governing energy markets to identify and adapt suitable methods for specific challenges.
- Staying updated on the latest advancements in machine learning research to evaluate promising new methods applicable to electricity market issues.
- Generalizing and unifying problem frameworks across various electricity markets.
- Designing, executing, and analyzing experiments for new machine learning techniques, while providing consultation for other members of the ML team.
- Applying state-of-the-art machine learning techniques to energy-related challenges.
- Promoting rigorous statistical testing and probabilistic thinking throughout the organization.
- Contributing to research publications in areas such as generative modeling, forecasting, and decision-making under uncertainty.
- Writing, optimizing, and reviewing code with a focus on performance and clarity.
You may be an excellent fit if you:
- Possess a strong publication record in leading conferences such as NeurIPS, ICLR, or ICML, particularly in forecasting and generative/probabilistic models.
- Hold a PhD in machine learning, statistics, or a related quantitative modeling discipline.
- Have in-depth knowledge of mathematics, probability, statistics, and algorithms.
- Demonstrate proven experience in researching and implementing relevant machine learning models.
- Are proficient in writing robust code in Python.
- Are familiar with machine learning frameworks like PyTorch or TensorFlow and libraries such as scikit-learn.
- Exhibit outstanding analytical and problem-solving capabilities.
- Possess excellent mentorship, communication, and teamwork skills.
- Show enthusiasm for continuous learning.
- Have knowledge of the energy sector, which is a significant advantage.
The salary range for this position is between $185,000 - $225,000 annually.
Work EnvironmentGridmatic values in-person collaboration, especially in our early-stage development as a startup. We maintain a hybrid work policy, encouraging approximately 50% in-office presence.
Interview ProcessThe interview process begins with initial discussions about the role and your background, followed by a skills assessment involving a take-home project. Successful candidates will then be invited for an onsite discussion with the team.
Join us in making a meaningful impact in the energy sector.
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