AI engineer for mobile apps

Labhouse is a Barcelona-based startup studio building AI-powered mobile apps used by hundreds of thousands of people worldwide. Our products — including Invoice Fly and Summary AI — are designed to make everyday tasks faster, smarter, and simpler through a subscription model that puts the user first. At Labhouse, AI is not a feature — it's the core of what we build. As our AI Engineer, you will own the development, fine-tuning, and productionization of the models that make our apps work at a high level of accuracy and performance.

• Research, design, and train models suited to the specific needs of our products
• Fine-tune existing open-source and foundation models to maximize accuracy and performance
• Own the full model lifecycle: data curation, experimentation, evaluation, and production deployment
• Collaborate with mobile and backend engineers to integrate models directly into our apps
• Define and track the metrics that drive quality — and continuously push them in the right direction

• We're looking for candidates with a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field.
• Hands-on experience training or fine-tuning deep learning models that are used in production.
• Strong Python skills and experience with ML frameworks (PyTorch or JAX preferred)
• Comfort with the full model development cycle: data pipelines, experiment tracking, evaluation, deployment and scaling.
• Solid understanding of modern model architectures and when to apply them
• Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions
• You actively use AI tools in your own workflow — not as a novelty, but as a genuine productivity multiplier. You stay current with the state of the art and know how to apply the latest research to real product problems.
• You communicate clearly and directly. You can explain technical decisions to non-technical stakeholders, flag blockers early, and collaborate effectively in a small, fast-moving team.
• Будет плюсом: A Master's or PhD in machine learning or a related area is a strong plus — but not a requirement if you can demonstrate equivalent depth through your work; A strong GitHub and/or Hugging Face profile is a significant advantage; Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus; Experience across multiple model domains (vision, audio, NLP, multimodal); Familiarity with on-device or edge inference optimization (quantization, distillation, ONNX); Experience integrating ML models into mobile or production environments; Published research or open-source contributions in ML

• Attractive compensation, above market average
• Hybrid work model based in Barcelona
• High ownership from day one — you define the direction, not just execute on it
• Work directly with the founders and a senior, low-ego team
• A real product with real users — your work will have immediate, measurable impact