Machine Learning Engineer

Cleanenergy tech leads to a positive global transformation. Heating homes contribute to 15% of Europes CO2 emissions. Switching to sustainable solutions offers households a way to achieve netzero emissions.

Airas 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 energytech system and include dynamic electrical tariffs cuttingedge 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 Airas products adapt to their surroundings drawing on physical sensors and hardware to sense the world around then learning the thermodynamics and physics of a customers 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 youll 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 tradeoffs 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 cloudbased platforms.

Youd 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 handson experience in a fastgrowing scaleup 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 entrepreneurialminded environment.
• Thrive in a dynamic solutionoriented culture tackling challenges and driving meaningful solutions that make a positive impact on the world.
• Influence the companys success with a visible impact on product development and market growth.
• Enjoy the flexibility of our hybrid work model and discover our brandnew 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.