Erneuerbare Energie-Jobs in United States

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.

Our Team:

The energy trading unit is responsible for optimizing assets across all markets, balancing renewables, and proprietary trading. We trade short term power algorithmically in an expanding geographical scope and have a highly technical team of veteran software engineers, leading AI experts and power trading professionals.

Career Opportunity:

In order to reach our goals and increase our impact we are looking for talented people to join our team who want to contribute their knowledge and passion to the energy transition. We are looking to strengthen our team with one additional Machine Learning Research Engineer (m/f/d) role with specific focus on short term weather prediction. In this role, you will work on all aspects of our cutting-edge machine learning pipeline for intraday price predictions (dataset creation, model training, model evaluation, model deployment).

If you’re ready to join our team and make an impact in the energy transition, we would be happy to receive your application. We look forward to hearing from you and shaping the future of energy together!

Your Tasks:

• Improve all aspects of our current machine learning pipeline for short term weather prediction : 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 (for example, tooling to provision GPU machines or tooling to evaluate models across many different benchmarks quickly)

• 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 (for example new input features, improvements to the model architecture, expanding models to more countries, or scaling up the model)

• 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

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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

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Qualifications:

• University degree in computer science, mathematics, physics, or related field

• 2 years of proven experience working with short term weather models

• 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 with specific focus on short term weather predictions.

• 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

Application Requirements:

• Motivation Letter: A brief letter outlining why you are interested in this role and how your background aligns with our mission.

• Technical Summary: Within the motivation letter, please include a short explanation of a technical project or piece of work you have contributed to that showcases your expertise.

• Technical Work Samples: If possible, share any examples of your technical work—this could be a link to your GitHub profile or another relevant portfolio. Text-based summaries are also welcome if public sharing is not possible.