Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model.
Based in Barcelona, Labhouse was founded by Andrés Bou and Horacio Martos (Co-Founders of SocialPoint).
We operate at the intersection of mobile technology, AI, and product-driven growth, with a strong focus on experimentation and performance.
Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below.
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.
This is a hands-on engineering role. You will:
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
Academic Background
A strong academic foundation matters to us. We're looking for candidates with a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field. 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.
What We Are Looking For
More than years of experience, we care about demonstrated ability to build. You should be able to point to models you've trained, fine-tuned, or shipped — whether in a professional setting, a research context, or on your own. A strong GitHub and/or Hugging Face profile is a significant advantage.
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
Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus
Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions
AI Proficiency
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.
Communication
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.
Nice to Have
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
Application review
Intro call with Talent (45 min)
Technical interview with the engineering team
Final interview with the founders
Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them.
Come join us and help us build a company that everyone is proud to be part of.
