Machine Learning Engineer to Energy Startup
Eneryield is a vibrating startup that strives for an electrified society with efficient and reliable power grids. Eneryield builds machine learning software for proactive surveillance and maintenance in power systems. The solution identifies and analyzes anomalies in the voltage and current signal, to predict larger faults. The technology has its foundation in several years of research from Chalmers University of Technology and the team is constantly pushing the boundaries within the field.
Job description
Here is a chance to join in early on an exciting startup journey, where you will play a key role in our product development. In this position, you will get the opportunity to be part of developing new innovative machine learning solutions for the energy sector. The work will include data analysis, algorithm development, software and embedded programming as well as data communication. The position also includes continuous dialogue and cooperation with our customers, all to ensure optimal product-market-fit. Therefore, it is great if you like explorative problem solving, a bit of uncertainty and diverse working tasks. Also, we hope you feel an eagerness to create something that is truly meaningful and has an actual big positive impact on society.
Eneryield is a small startup, spreading from research to business development, and as being a small startup, all employees become super important. You will be part of a friendly and familiar team, which is permeated by mutual learning and understanding. At Eneryield we grow together, and by being part of the team, you will be something much more important and rewarding than just a cog in the wheel at some large corporation. Moreover, Eneryield’s office is located at Stena Center, the center of Gothenburg's young startup scene, thus you will be part of an innovative, stimulating and inspiring working environment. Eneryield is also part of AI Innovation of Sweden and Chalmers Ventures.
Who you are
To help us move forward we see that you have at least a M.Sc. in Engineering Physics, Mathematics, Electrical Engineering, Computer Science or equivalent.
It is also advantageous if you have previously worked with, or want to evolve within: