Hybrid work from Stockholm:
Energy Machines AB is a global software product company with a wide range of product lines, from industrial power to e-sports platforms and monitoring and controlling of energy systems. Its sister company, Energy Machines is a leader in the design, implementation, and operation of integrated energy systems for buildings. Buildings are a growing climate problem, accounting for over 28% of global CO2 emissions. We are working to transform them into climate solutions.
By combining proven best-of-breed technologies with purpose-built digital platforms, Energy Machines enables buildings to operate as fully integrated systems that outperform traditional alternatives on operating cost, energy usage, and carbon emissions. We envision a green future in which buildings accelerate the world’s transition to sustainable energy. By turning every building into a high-performance energy machine, together, we can achieve it.
What you will be doing
We are growing our team, and are looking for a Student Python Developer with experience or a strong interest in Machine Learning, who has the same "quality before deadline" approach as we have.
Our team is a mix of engineers, data scientists, UX researchers and designers, all coming together to build tools that ensure a high level of sustainability for our customers. You have a safe space to grow and improve your skills with the freedom to try new things. We have a strong learning culture so you can drive your own development while making sure you feel supported with knowledge sharing meetings. We have an open way of working together, and the opinions of everyone on the team are highly valued. We strive to be on the edge when it comes to technologies we use in our day-to-day work.
You can expect to work with the following:
Contributing to our applications that help energy professionals monitor and make informed decisions on how best to support sustainability for our customers.
Develop your machine learning and data analysis competence on energy system datasets.
Working with a supportive team with data scientists, machine learning engineers, as well as engineers from other fields to develop data products to enhance our energy system facilities and experiences.
Working under a “quality before deadlines” approach
We would love it if you...
Have experience in data analysis and statistics for model development.
Understand machine learning techniques.
Have a keen interest in forecasting and preferably have experience in time-series datasets.
Have skills with Python and the main ML libraries.
Have a curious mind to tackle mathematical and engineering challenges.
Enjoy working with others, both remotely and in other locations.
Have excellent English verbal and written skills.
You'll be part of an international team with great enthusiasm who wants to do good for the well-being of society. We are looking for people to join us in Stockholm, Sweden. There is a restaurant, a gym and a sauna in our building!
Our dynamic team focuses on solving complex challenges to fight the climate crisis. We'll give you the ins and outs of efficient energy systems and why they are the future of sustainable heating and cooling.