AI Engineer

Job description

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.*