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JOIN OUR TEAM

The Entropic mission is to accelerate the energy transition by decarbonizing industrial heat responsible for 20% of global CO2 emissions. We believe in building technology that can make a real impact on the environment.

We’ve built a product and deployed it with customers— with a small and driven team.

But we’re just getting started. To reach our vision, we need to improve our software, increase engagement with factories and suppliers, and scale up rapidly. That’s why we’re looking for top talent who can drive us forward. If this excites you, check out our open positions below—or reach out and pitch yourself if you think you’re a fit. We’re always interested in meeting passionate people.

AI research intern

You’ll work on building a foundational model to accelerate and automate the engineering process of decarbonization projects. This model will directly power our platform, helping factories find the most accurate and cost-effective solutions.

Responsibilities

  • Develop tools for data collection and knowledge databases.

  • Develop virtual flow metering algorithms

  • Assist in building a structured data framework to help match industrial projects with relevant case studies

Qualifications

  • Previous experience in developing ML models

  • Bachelor’s or Master’s degree in CS, AI

  • Strong problem-solving skills and the ability to learn quick.

  • Comfortable working autonomous.

Digital Twin engineer

Jump into the world of thermal modelling! As engineering intern, you’ll build thermodynamic models of cutting-edge technologies like heat pumps and thermal storage. You’ll gain hands-on experience with real-world energy systems and contribute to de-carbonizing industrial processes.

Responsibilities

  • Build optimization algorithms

  • Develop equipment models, such as heat pumps and thermal energy storage systems

  • Build financial models for the business case of equipment

  • Collaborate on request for proposal module 

Qualifications

  • Strong analytical mind and problem-solving skills. 

  • Enjoys working collaboratively in a fast-paced environment. 

  • Background in Mech. Engineering, Aerospace, CS, or a related field. 

  • Proficiency in Python programming.

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