Machine Learning Software Engineer to EnergyTech Startup

Machine Learning Software Engineer to EnergyTech Startup
Eneryield is a dynamic startup striving to build a future with electrified, efficient, and reliable power grids. We develop advanced AI solutions for proactive power system maintenance, predicting faults and anomalies to prevent outages and optimize operations. Our cutting-edge technology is rooted in years of research at Chalmers University of Technology, and our team is constantly pushing the boundaries of AI and energy innovation.
Job Description
This is your chance to join us early in our startup journey and play a key role in shaping the future of our product. As a Machine Learning Software Engineer, you will work on:
Developing AI models for fault prediction, anomaly detection, and analysis in power systems.
Designing and optimizing backend services for data ingestion, processing, and analysis.
Collaborating on the design and implementation of scalable cloud infrastructure.
Improving the deployment process with CI/CD pipelines and containerization (Docker, Kubernetes).
Translating data science insights into practical, high-performing software solutions.
Ensuring explainability and transparency in AI models (XAI).

You’ll also contribute to core product decisions, experiment with innovative approaches, and help us create a solution that combines technical brilliance with real-world impact.
Who You Are
We’re looking for someone who’s curious, ambitious, and excited about solving tough technical challenges. To excel in this role, you likely have:
A M.Sc. or equivalent experience in Data Science, Software Engineering, Engineering Physics, Electrical Engineering, or a related field.
Strong knowledge of machine learning and deep learning frameworks like PyTorch, TensorFlow, or Scikit-learn.
Experience in software development (Python is a must; other languages are a bonus).
Familiarity with cloud platforms like Azure, AWS, or GCP.
Practical experience with data pipelines, signal processing, or time-series analysis.
A problem-solving mindset and the ability to work collaboratively in a startup environment.

Bonus points if you have:
Knowledge of energy systems, power grids, or signal processing.
Experience with data visualization and interactive dashboards.
Hands-on experience with IEC 61850 or SCADA systems (not required but appreciated).



Why Join Us?
At Eneryield, you’ll join a friendly, tight-knit team with a shared vision of building a smarter, more sustainable future. Being part of a startup means you’ll have significant ownership of your work and directly influence the company’s success. Our office is located at Stena Center, in the heart of Gothenburg’s startup community, surrounded by innovation and inspiring minds.
We are proud partners of AI Sweden and Chalmers Ventures, providing access to a wealth of resources and connections to drive both personal and professional growth.
How to Apply
Are you ready to help us transform power grids with cutting-edge AI solutions? Send your CV to balouji@eneryield.com. Interviews are conducted on a rolling basis, so apply soon if this sounds like the challenge you’ve been looking for.
Let’s shape the future of energy together!
Contact information: Ebrahim Balouji, CEO, balouji@eneryield.com