Machine Learning / Data Engineer (m/w/d)

About Us

We are an experienced team with a vision to make a significant impact on the energy transition through precise forecasting models. With conviction, we are working to bring this vision to life and make an important contribution to our climate. Our goal is to use machine learning to make electricity production and consumption more predictable, supporting grid operators, energy companies, and end consumers optimally. Our approach is smart, straightforward, and economical.

Thanks to funding programs and industry partners – from energy suppliers and manufacturers of e-batteries and heat pumps to operators of charging infrastructures – we are building a solid foundation to bring our ideas to fruition.

Your Role

As a Machine Learning and Data Engineer, you’ll be joining our team in the founding phase and working directly on developing forecasting models for the energy market. Your focus will be on time series analysis to enable precise predictions. You’ll have a lot of freedom to contribute your ideas, and your opinion matters. You’ll develop models that are continuously improved with new technologies and data, contributing significantly to shaping the direction of our company.

Your Responsibilities

• Develop and implement machine learning models with a focus on time series analysis for the energy sector.
• Analyze and prepare consumption and production data and integrate additional relevant data sources (e.g., weather data).
• Create forecasts and analytical methods to support our clients in efficient energy use.
• Test and optimize models based on current research and the specific needs of our partners.
• Compare with classical forecasting models (ARIMA and variations).
• Actively participate in shaping and advancing our technology roadmap and product strategy.

What You Bring

• Some to several years of experience in developing machine learning models, ideally in time series analysis.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with energy or smart grid data is a big plus.
• Interest in contributing to startup development and having a founder’s mindset.
• Willingness to continually learn new technologies and drive the development of our models forward.

What We Offer

• Equity in the company: Become an integral part of our founding team and earn equity in the company.
• Innovative projects: Work on highly relevant projects with the potential to actively promote the energy transition.
• Development opportunities: Constant growth and a chance to bring your ideas to life.
• Impact: Through our work, we contribute to CO₂ reduction and promote sustainable practices.

Interested?

If you’d like to be part of a company looking to transform the energy industry and enjoy the challenge of working with complex data, we look forward to your application! Please send your resume and a brief introduction to [email protected].