If you are passionate about building and scaling machine learning solutions in real-world products, and you’re excited about applying AI to improve learning experiences, keep reading. Our client is a growing international technology company that develops software solutions integrated into major learning platforms (LMS) and used by millions of users worldwide.
This is a great opportunity to join them as a Senior Machine Learning Engineer and contribute to the evolution of intelligent features within their product ecosystem.
WHAT WILL YOU DO?
- Design, develop, and maintain machine learning models integrated into products used in educational and LMS environments.
- Maintain and improve existing ML-based solutions, while designing and implementing new ones aligned with product and user needs.
- Develop, train, and evaluate deep learning algorithms to enhance user experience, content interaction, and learning outcomes.
- Collaborate closely with Product and Engineering teams to understand user behavior and business requirements, translating them into scalable ML solutions.




- Define and implement metrics to measure the performance and impact of ML features in real product usage.
- Contribute to the deployment of models into production and monitor their performance in real-world environments.
- Run experiments and iterate on models to continuously improve accuracy, performance, and user impact.
- Document progress and communicate results clearly to both technical and non-technical stakeholders.

WHAT WILL MAKE YOU SUCCEED IN THIS POSITION?
- Bachelor’s or Master’s degree in Engineer, Mathematics, Data Science, or a related field.
- 5+ years of experience in Machine Learning, Data Science, or similar roles.
- Experience working with machine learning solutions in production environments (beyond research).
- Strong ability to connect machine learning solutions with real user and product impact.
- Experience collaborating in product-driven environments, ideally with cross-fun

📌 Senior Machine Learning Engineer (Barcelona)
🏢 Empresa Confidencial
📍 Barcelona