About job:

Clean-energy tech leads to a positive global transformation. Heating homes contribute to 15% of Europe's CO2 emissions. Switching to sustainable solutions offers households a way to achieve net-zero emissions.

Aira's mission is to advance the next generation of home energy solutions, creating intelligent, sustainable homes for a meaningful impact. Starting with innovative heat pumps, it will evolve into a comprehensive, intelligent clean energy-tech system and include dynamic electrical tariffs, cutting-edge home solar systems, and advanced battery storage solutions.

Founded in 2022 with already 800 employees and growing, Aira aims to drive the clean energy revolution. We are headquartered in Stockholm, Sweden, and our factory in Poland brings these innovations to life, with operating markets in the UK, Italy, and Germany.

About the role

As a Machine Learning Engineer in the Data & Optimisation department, you will join a strong team of four dedicated to building intelligent energy optimisation for our customers’ homes.

Through optimisation, we can help customers minimise costs and reduce emissions, directly impacting their contribution to a greener environment and helping to ease the weight of energy cost on their wallets.

Our work helps Aira’s products adapt to their surroundings, drawing on physical sensors and hardware to sense the world around, then learning the thermodynamics and physics of a customer's home through machine learning, optimisation, and simulation.

This allows our products to choose the best course of action for each home. You will engage in optimisation throughout the entire process – from conceptualising solutions to conducting R&D, and finally, implementing models for production.

Additionally, you will gather and analyse data to derive insights and optimisations, create and enhance the methods used to generate our models, and continuously improve our models and pipelines with a focus on reducing client costs and emissions.

We think you’ll enjoy this role if you have

• Solid experience in driving machine learning projects from start to finish, from conceptualising solutions to conducting R&D, developing the digital infrastructure, and implementing models in production.

• Passion and curiosity to dig into physical world problems, develop hypotheses and potential solutions from data, and testing them.
• An intuitive understanding of machine learning techniques and convex optimisation, including the mathematical fundamentals, efficiency and convergence trade-offs, and best practices for application.

• Motivation for the value we create for our customers, and curiosity to work with our UX designers to understand what our customers need.
• Experience in programming languages such as Python (preferred), R, or Java.

• Experience in MLOps on cloud-based platforms.

You’d be a rockstar if you have the following:

• Prior experience working with thermodynamics, physical systems, and/or energy modelling.

• Knowledge and intuition of various specialised Machine Learning frameworks.
• Deep learning frameworks such as PyTorch and TensorFlow/Keras.

What is in it for you?

• Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities.

• Collaborate with diverse teams across international markets and launch products globally.
• Develop and grow personally and professionally in an entrepreneurial-minded environment.
• Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world.

• Influence the company's success, with a visible impact on product development and market growth.
• Enjoy the flexibility of our hybrid work model and discover our brand-new office at Norra Stationsgatan 93 in Stockholm.

  Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes' walk away.

Aira leads in the next generation of energy. We are driven by our belief that the power of diversity fuels innovation.

We welcome individuals from all backgrounds, cultures, and perspectives to join our team, united in our mission to create a better future for society and the planet.