Founded by design and gaming veterans, we’re a Nordic startup creating a new category where interior design meets games.
We’re backed by some of the biggest names in the industry (from Supercell, King, and Small Giant), and we’ve put together an extraordinary team with deep roots in games, UX, and tech. We move fast and care deeply about what we build. No fuss, just a tight team making something beautiful from scratch.
Now we’re looking for someone just as sharp and self-driven, who’s excited to help shape what we’re building.
What you will do
You’ll be hands-on from day one, designing, training, and refining ML and vision models that form the core of our intelligent features. You’ll work with pretrained models and your own fine-tuned approaches, designing efficient pipelines that let us iterate quickly and ship reliably. Your work will span exploration to deployment, improving model performance, optimising training workflows, and powering both our content pipeline and new player-facing features. In our small, senior team, you’ll collaborate across disciplines and have real influence on how our AI behaves and what we ship.
What We're Looking For
Strong experience with Python
Skilled in working with pretrained models, computer vision, and AI/ML APIs
Ability to run, deploy, and fine-tune models, including optimising training and inference
Practical mindset - you build systems meant for real-world use, not academic demos
Self-directed, collaborative, and comfortable in a fast-moving startup environment
Bonus If You’ve Worked On
3D formats (FBX, GLB/GLTF) or geometry-aware ML
Scene understanding, similarity models, segmentation, auto-tagging, or embeddings
Cloud platforms (especially GCP, Vertex AI)
Retrieval systems or generative AI frameworks
How We Work
This role is based in Stockholm, home to our studio. We work in a hybrid setup - balancing remote work with regular time together in the studio. We value flexibility, but also believe great things happen when we spend time together. We’re not able to support relocation at this stage, so the role requires you to already be based locally.