AI Engineer

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.

We were founded by Andrés Bou and Horacio Martos, the duo behind SocialPoint (acquired by Take-Two Interactive), and we operate with the mindset of a product company: small teams, high ownership, and a relentless focus on building things that matter.

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.

THE Role

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

About YOU

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

What WE Offer

• 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

• HIRING PROCESS

1. Initial Interview: Meet with our Talent Acquisition Lead to discuss your background and fit for the role. We’ll also ask you to share your proudest projects.

2. Hiring Manager Interview: A deep dive into your experience and leadership capabilities.

3. Technical Assessment: Showcase your expertise through a practical task.

4. Final Interview: A conversation with our leadership team to align on vision and expectations.

5. Offer: Join our team and lead the development of our future-shaping apps!

• YOU SHOULD KNOW:

• 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.