AI Engineer

About the Position

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.

Responsibilities

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.

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

Requirements

Academic Background

• 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

Professional Experience

• 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

Skills

• Actively use AI tools in your own workflow
• Communicate clearly and directly
• 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

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

About the Company

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.

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!