About Us
Welcome to Terra One – an exciting-fast growing company focused on developing and operating large-scale battery storage systems in Germany. With a focus on innovation and sustainability, our company is driving forward the expansion of renewable energy infrastructure in order to make a significant contribution to achieving climate neutrality.
Our Mission
At Terra One, we accelerate the expansion of renewable energy infrastructure by developing and implementing innovative solutions. Our initial focus is on battery storage, a crucial component for establishing a flexible and environmentally friendly power grid. By providing energy when it is most needed, we help improve the reliability and efficiency of the power grid while simultaneously reducing CO2 emissions. Equally important to our mission is our AI-based energy trading in the European market, which works hand in hand with our battery storage solutions.
Your Tasks
- Improve all aspects of our current machine learning pipeline for intraday price predictions: dataset creation, dataset loading, model training, model evaluation, and model deployment
- Improve and create tooling and infrastructure to make the above super easy and fast
- Further scale and improve our production pipeline that runs our models to produce price predictions in real time
- Implement and experiment with new ideas to improve prediction accuracy for intraday prices
- Work closely with our data engineers, traders, and ML experts to come up with novel ideas across our whole value chain
- Work closely with our software and backend engineers to ensure reliable and performant production operations
What we expect from you
- You're excited about driving progress in a fast-moving startup company
- Strong and respectful communicator with ability to work in a team
- High intellectual curiosity and grit combined with a commercial mindset
- High level of integrity, ethical standard and good judgment
- You can be inquisitive and rigorous but also pragmatic
- You are comfortable with empirical experimentation to produce actionable insights
- Fluent in English, German is a plus
Qualifications
- University degree in computer science, mathematics, physics, or related field
- Strong Python programming skills and experience with ML frameworks (PyTorch preferred)
- Proven experience building and deploying ML models in production
- 2+ years of industry experience in ML
- Strong foundation in machine learning, particularly deep learning and sequence models
- Experience with distributed computing and handling large-scale data
- Prior experience with time series forecasting and knowledge of energy markets are a plus