Machine Learning Engineer
You don’t know what to do. Your heart beats for music and giving gifted souls all around the world the right tools to express themselves. But you also want to work with cutting-edge machine learning technology. You ask yourself: how should I combine these two interests? Well, today is your lucky day! Right now, we are looking for a new Machine Learning Engineer to join our Smart Tech team.
About us🎶 🥁
We create software for music production and award-winning virtual instruments used worldwide by creative enthusiasts, professional music producers, songwriters and bands. With Max Martin as a co-owner, music studios and instruments at the office ready to use, there is no doubt that we have rhythm in our blood. We love what we do - helping people express themselves through music. Our ambition is to build the world’s most inspiring and innovative software, to help bring ideas to life and be part of the powerful feeling only music can create.
Your future colleagues 👋
We are a bunch of driven, quirky, and caring music nerds who never fail to make work fun. We believe that we work better when life is balanced, and we want to ensure that everyone can have the best combination of their families – the one at home and the one at XLN Audio. To allow you to be at your most productive and creative self, you also have the opportunity to combine working from the office and remote – whatever suits your life best.
About the role 🤩
As our Machine Learning Engineer, you will test new ideas and concepts related to audio and symbolic music processing and generation, focusing on the application of cutting-edge machine learning concepts. You will also be focusing on the application of machine learning concepts to deliver great ideas for the rest of the teams by distilling others’ and conducting our own research. To do so, you will be reading relevant research papers and testing and documenting their results. You will be responsible for combining these into new models as well as collecting relevant data that can be used to train them.
Except for a passion for music as big as ours, you enjoy working with a variety of tasks and like to dive into new prototypes.
We believe you have:
Strong Python development skills
- 3+ years’ experience using machine learning techniques
Used popular ML frameworks such as Tensorflow, PyTorch, JAX
Understand the mathematical concepts of convolutional models, transformers or diffusion models
Know when not to use deep learning techniques at all
Experience with Digital Audio Workstations (ie. Ableton, Logic, Pro Tools etc.)
Masters Degree in a relevant field or equivalent knowledge and industry experience
Great communication skills
It’s a bonus if you have:
Experience with MLOps
Strong mathematics and statistics foundation
PhD in a related field
DSP knowledge
Modern C++ knowledge
Used JUCE to develop VST plugins
Background as a musician
Apply by the link below or contact our Talent Acquisition Specialist Filippa Lindahl at filippa.lindahl@xlnaudio.com for more information about the position.
Enabling music creation is our mission. Will it be yours?
- Locations
- Stockholm
- Remote status
- Hybrid Remote

Stockholm
What we offer
At XLN, you will not only have the opportunity to take initiative – you will be encouraged to drive change to grow our business even further. Working with us, you will have some great opportunities to develop new skills, working with new technologies, exciting people and an expanding market.
Joining us, you will be part of creating XLN 2.0. Along with music producers, developers, designers and tech specialists, you will get to explore new roads and set the tone for our future, as well as your own career. To allow you to be at your most productive and creative self, you also have the opportunity to combine working from the office and remote – wherever it suits you and your work best.
Our additional benefits package of course includes insurance and pension plan – as well as paid vacation and wellness spending.
About XLN Audio
XLN Audio is a music software company located in Stockholm, Sweden. Since the company was founded in 2005, XLN Audio's main goal has been to develop market leading music creation tools that are inspiring, powerful and easy to use.
Machine Learning Engineer
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