Machine Learning Research Engineer JD
Machine Learning Research Engineer JD
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Job Description
About Us:
Welcome to Terra One an excitingfast growing company focused on developing and operating largescale 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 AIbased 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. In this role you will work on all aspects of our cuttingedge machine learning pipeline for intraday price predictions (dataset creation model training model evaluation model deployment). If youre 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 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 (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
What we expect from you:
- Youre excited about driving progress in a fastmoving 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
- 3 years of industry experience in ML/software engineering
- Strong foundation in machine learning particularly deep learning and sequence models
- Experience with distributed computing and handling largescale data
- Prior experience with time series forecasting and knowledge of energy markets are a plus
Employment Type
Full Time
