AI Engineer

Description

Summary: As an AI Engineer, you will own the development, fine-tuning, and productionization of AI models that power mobile apps, focusing on accuracy and performance. Highlights: 1. High ownership to define the direction of AI model development 2. Work directly with founders in a senior, low-ego team 3. Real product with immediate, measurable impact on millions of users 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. **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** ================== * Application review * Intro call with Talent (45 min) * Technical interview with the engineering team * Final interview with the founders **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.*