AI engineer for mobile apps

Labhouse; Barcelona; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Attractive compensation

Hybrid work Barcelona

Ownership from day one

Direct founders mentorship

Impactful product

Job summary

Labhouse — стартап-студия в Барселоне, ищет инженера по искусственному интеллекту для владения развитием, настройкой и внедрением моделей, применяемых в наших мобильных приложениях Invoice Fly и Summary AI.

Вы исследуете и обучаете модели, сотрудничаете с командами мобильной и backend, и отслеживаете метрики качества, чтобы продукт оставался быстрым, точным и конкурентоспособным на рынке.

Qualifications

• Степень в области CS, электротехники, математики или физики; релевантная подготовка.
• Опыт тренировки или донастройки моделей глубокого обучения, используемых в продакшене.
• Сильные навыки Python и опыт работы с ML-фреймворками (PyTorch или JAX).
• Полный цикл разработки моделей: данные, эксперименты, оценка, развёртывание и масштабирование.
• Способность работать автономно и принимать решения в условиях неопределённости.
• Умение ясно объяснять технические решения ненмер Technical stakeholders.

Responsibilities

• Исследовать, проектировать и обучать модели под нужды продуктов Labhouse.
• Донастройка открытых и базовых моделей для повышения точности и производительности.
• Владеть полным циклом жизни моделей: от данных до развёртывания в проде.
• Сотрудничать с мобильной и backend-командами для интеграции моделей в приложения.
• Определять и отслеживать метрики качества и активно улучшать их.

Skills

Python

Deep learning

Model fine-tuning

Production ML

Data pipelines

Experiment tracking

Communication

Education

Degree in CS/EE/Math/Physics or related field

Tools

GitHub

Hugging Face

PyTorch

JAX

ONNX

Job description

Описание

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. 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.

Задачи

• 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

Требования

We're looking for candidates with a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field. 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 Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions 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. 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.

Будет плюсом

• 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;
• A strong GitHub and/or Hugging Face profile is a significant advantage;
• Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus;
• 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

Условия

• 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