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.
Responsibilities
As a Research Engineer, you will collaborate with our team and be responsible for:
- Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience
- Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts.
- Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure.
- Developing and using our algorithm training architecture to ensure quality results for our customers.
- Developing and deploying TEA and LP models to optimize equipment and facility operations.
- Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans.
- Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs.
- Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers.
- Be a critical member of our customer success team, leading customer-facing calls and discussions.
Our current modeling and analysis stack is Python-based and includes modern CI/CD workflows managed through GitHub.
A strong candidate will bring many (but not necessarily all) of the following:
- 5+ years of experience and/or advanced degrees in industrial or energy analytics and techno-economic analysis or ML and statistics applied in industry, preferably in an early-stage or growth-stage company
- Demonstrated strength in Python
- Working knowledge of energy and commodity markets
- Comfortable managing multiple analytical projects at once
- High attention to detail and ability to prioritize independently in a low-structure, high-trust environment
- Excitement to utilize the latest AI tools to accelerate your work, while maintaining an eye on quality
- Ability to rapidly prototype while acknowledging limitations
- Excellent communication and coordination skills across remote, distributed teams
CVector provides team members with:
- A competitive compensation package with meaningful equity upside
- A robust selection of health, dental, and vision insurance options
- Optional Health Flexible Spending Account (FSA)
- Unlimited PTO with a three week minimum per year, plus additional sick days
- Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack
- Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better
- Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable
Why This Role Matters at CVector
CVector's TEA models and time series algorithms inform operators at $100+ million industrial facilities where changes in operations can results in millions of dollars of savings. We need the best and brightest team to ensure our models are top of the line and stress tested against corner cases that could lead to poor recommendations.
If you enjoy deeply understanding physical systems, advocating for customers, and driving real-world decisions, this role will give you both ownership and impact.
