AI Research Scientist at Gridmatic

Cupertino, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Energy, Data Science, AI & Machine LearningIndustries

Requirements

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. Excellent analytical, problem-solving, communication, and teamwork skills are also necessary.

Responsibilities

The AI Research Scientist will expand the company's technology by applying expertise to energy markets, focusing on forecasting techniques. Responsibilities include investigating new technologies, designing and implementing state-of-the-art deep generative models, and generalizing solutions for broader application. The role involves designing, performing, and analyzing experiments for new ML techniques, keeping abreast of the latest ML research advances, and authoring research papers in fields such as generative modeling, forecasting, and decision-making under uncertainty.

Skills

Machine Learning

Deep Generative Models

Forecasting

Mathematical Modeling

Energy Markets

Experiment Design

Research

Data Analysis

Gridmatic

AI-driven optimization for renewable energy assets

About Gridmatic

Gridmatic uses artificial intelligence to improve the performance and profitability of renewable energy assets. It serves renewable energy generators by predicting energy prices and managing risks, while helping storage operators optimize revenue and minimize non-performance risks. For consumers, Gridmatic aims to lower energy costs and support renewable energy procurement. The company stands out by combining advanced algorithms with market expertise to modernize energy markets and contribute to decarbonization.

Cupertino, CaliforniaHeadquarters

2020Year Founded

$5.8MTotal Funding

EARLY_VCCompany Stage

Energy, AI & Machine LearningIndustries

11-50Employees

Benefits

Hybrid Work Options

Flexible Work Hours

Risks

Increased competition from AI-driven energy optimization companies may erode market share.

Regulatory changes in Texas could impact operations as a Retail Electric Provider.

Cybersecurity threats to AI systems pose risks to data integrity and reliability.

Differentiation

Gridmatic uses AI to optimize renewable energy asset performance and profitability.

The company offers tolling, offtake, and supply contracts for clean energy assets.

Gridmatic is a licensed Retail Electric Provider in Texas, enhancing market credibility.

Upsides

Increased interest in AI-driven energy solutions boosts partnerships with energy providers.

The Inflation Reduction Act offers tax incentives, enhancing Gridmatic's financial attractiveness.

Advancements in battery technology improve storage efficiency, aligning with Gridmatic's focus.

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