CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview The Research Engineer plays a critical role in advancing our industrial and energy modeling, machine learning, and analysis capabilities, supporting customers in achieving their economic, operational, and sustainability goals. These modeling and analysis capabilities are mission critical and underpin the knowledge base for CVector's AI Agents. They ensure customers are receiving robust, reliable recommendations from our AI Agents that are bound by real equipment and facility constraints. You will report to the CTO and develop and implement models and analytical tools for standardized products and bespoke customer needs. Specifically, you will be developing and deploying CVector's techno-economic analysis (TEA) and linear programming (LP) models to inform and recommend to our customers how to operate their facilities more profitably, with lower energy costs and reduced emissions. You will also develop and work with our library of ML and AI time series algorithms for anomaly detection, forecasting, and predictive equipment failure. This role is ideal for an experienced energy modeler or data scientist with substantial experience in the energy or industrial sectors. We seek someone who thrives in startup environments and enjoys cross-functional work that supports founders, investors, customers, and team members alike.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed