Machine Learning Engineer, Green Fusion
Working Student in Energy Tech Start Up
Energy management company
Job no longer available
Energy management company
21-100 employees
Job no longer available
21-100 employees
Company mission
To create a new standard for energy management software and to empower the use of renewable energies.
Role
Who you are
- You have proven experience in at least one personal machine learning project, ideally in areas like time series forecasting, digital twin modeling, or reinforcement learning
- You bring strong skills in statistics, machine learning, data modeling, data processing, and data cleaning, with particular expertise in working with time series data
- You are proficient in Python, Git, Pandas, SciPy, Scikit-Learn, and PyTorch/TensorFlow. Your programming style is clean, well-structured, and maintainable, making it easy for team members to understand and collaborate
- Proactive and eager to learn, you have a genuine interest in technical topics and enjoy sharing knowledge with others
- You communicate complex insights clearly to a range of stakeholders and foster a collaborative team environment
- You are fluent in English and have a basic understanding of German
What the job involves
- As a Machine Learning Engineer (working student), you will support our Energy Optimization Team by conducting research and developing prototypes for machine learning and reinforcement learning-based energy optimization algorithms
- ML Research: Explore the latest literature on state-of-the-art machine learning concepts related to time-series prediction, digital twin modeling, and energy optimization algorithms
- Time Series Forecasting: Collaborate with our ML team to develop prototypes for forecasting heating demand and PV production using state-of-the art ML models, and evaluate different approaches
- Digital Twin Modeling: Assist in creating state-of-the-art data-driven models for heating systems
- Reinforcement Learning (RL) Algorithms: Support the training of RL agents to optimize the operational control of heat pumps for optimal efficiency
- Algorithm Development: Contribute to the design and implementation of innovative algorithms that improve energy management and efficiency
- Collaboration: Work closely with energy engineers, ML engineers, and data scientists to develop innovative features for our smart home energy management system
- Clear Communication: Effectively present findings and insights in a concise and understandable manner, ensuring clarity for all stakeholders
Our take
Founded in 2021, Green Fusion is a Berlin-based cloud platform revolutionising energy management. Designed for the smart control of heat, electricity, and e-mobility, it gives users the power to monitor, control, analyse, and uptimes their systems in real time, from anywhere. By leveraging machine learning, Green Fusion boosts efficiency and offer predicative maintenance to keep systems running at their best.
With backing from top investors like High Rise Ventures and Vireo Ventures, Green Fusion has already gained signficant trust and attention. This funding not only reflects the growing demand for its services but also fuels the company's ambitious plans to further develop its cutting-edge technology and secure its place as a leader in the energy management space.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jan 2025
$14.1m
SERIES A
Feb 2023
$3.2m
SEED
Total funding: $17.6m
Company HQ
Oberhavel, Hohen Neuendorf, Germany
Leadership
Paul Hock
(Co-Founder & CEO)Hosts the podcast 'Among Founders'. Has interned at Get Hold of It and ANDRITZ HYDRO.
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