Labhouse
Technology
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Labhouse. Skills: AI Engineering, Model Productionization, Machine Learning. Research models. Design models”
What You'll Achieve.
Maximize accuracy; Maximize performance; Push metrics in right direction
Industry & Context.
Make decisions under uncertainty
What They're Looking For.
Must Have
Hands-on experience training deep learning models, Hands-on experience fine-tuning deep learning models, Python skills, Experience with ML frameworks, Comfort with full model development cycle, Solid understanding of modern model architectures, Ability to work autonomously, Make decisions under uncertainty, Ship without waiting for perfect conditions, Actively use AI tools, Stay current with state of the art, Know how to apply latest research, Communicate clearly and directly, Explain technical decisions to non-technical stakeholders, Flag blockers early, Collaborate effectively in small team
Nice to Have
Master's or PhD in machine learning, GitHub profile, Hugging Face profile, Experience with Hugging Face ecosystem, Experience across multiple model domains, Familiarity with on-device inference optimization, Familiarity with edge inference optimization, Experience integrating ML models into mobile environments, Experience integrating ML models into production environments, Published research in ML, Open-source contributions in ML
What You'll Do.
Conduct experimentation
Deploy models to production
Collaborate with engineers
Integrate models into apps
Define quality metrics
Track quality metrics
How You'll Work.
Team & Collaboration
Mobile engineers; Backend engineers; Small teams; Fast-moving team
Communication Scope
Technical decisions; Direct communication
Process & Methodology
High ownership
Full 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 train
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