AI Innovation Engineer Intern

Univers provides the world’s most comprehensive decarbonization system. 

We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.

With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.

For more information, please visit https://univers.com/

AI Innovation Engineer Intern

 

Job Description:
Join our innovative team as an AI Innovation Engineer (Intern), where you’ll explore how emerging AI technologies can reshape the future of energy efficiency and comfort in modern environments. In this role, you will help create valuable technical documentation, define key concepts, and support research that connects AI-driven insights with the management of indoor conditions. This is a unique opportunity for those curious about how cutting-edge technology can be applied to real-world systems and sustainable practices.

Key Responsibilities:

1. Documentation & Knowledge Building:
   • Assist in developing clear, step-by-step Standard Operating Procedures (SOPs) for AI-related projects.
   • Help organize and structure definitions of domain-specific objects and concepts, laying the groundwork for intelligent building solutions.
2. Applied Research & Innovation:
   • Support exploratory research that integrates AI algorithms into systems managing indoor environments, with a focus on efficiency and comfort.
   • Contribute to testing and evaluating new tools, platforms, and IoT solutions that enhance intelligent control and data-driven decision making.

Required Skills:

1. Interest in Sustainable Technology:
   • A curiosity about how technology influences smart building, energy usage, and occupant comfort.
   • Eagerness to learn more about the principles and practices behind efficient environmental management.
2. Technical & Analytical Aptitude:
   • Basic understanding of programming concepts and a willingness to learn AI and data analysis techniques.
   • Enthusiasm for digging into technical challenges, experimenting with solutions, and continuously improving your skill set.
3. Communication & Collaboration:
   • Ability to create well-structured, easy-to-follow documentation.
   • Openness to teamwork, feedback, and mentorship, contributing to a dynamic and supportive environment.

Preferred Qualifications:

• Exposure to a programming language like Python, MATLAB, or similar.
• Interest in IoT, data-driven optimization, or building automation systems.
• Previous projects or coursework related to AI, data science, or smart building technologies are a plus.

Join us and help shape the future of intelligent, energy-efficient, and comfortable indoor spaces through the power of AI!