Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Develop, maintain, and optimize Machine Learning models applied to recommendation systems and the selection of advertising creatives.

• Work on the recommendation engine to identify which ads perform best based on client, campaign, audience, and context.

• Analyze performance data to detect patterns, improvement opportunities, and new modeling hypotheses.

• Propose, validate, and implement new approaches that enhance decision-making within the platform.

• Participate in the complete model lifecycle: analysis, feature engineering, training, deployment, monitoring, and maintenance.

• Collaborate with the creative team to understand their needs and translate them into data-driven technical solutions.

• Work alongside the Machine Learning, MLOps, and technology teams to robustly, scalably, and maintainably deploy models.

⛳️ Requirements

• Over 5 years of experience in Machine Learning positions, applied Data Science, or Machine Learning Engineering.

• Strong knowledge of Machine Learning and Deep Learning algorithms.

• Proficiency in Python, SQL, statistics, and ML frameworks/libraries.

• Experience or a strong interest in Recommender Systems, ranking, personalization, or optimization.

• Ability to work with large data volumes and solve complex challenges.

• Analytical, proactive, and product-oriented mindset.

• Strong communication skills, teamwork capabilities, and adaptability to a constantly changing environment.

• Fluent level of English.

• Previous experience in AdTech, programmatic advertising, DSPs, or Real-Time Bidding will be viewed favorably.

• Experience in sectors such as gaming, marketplaces, e-commerce, fintech, or high-scale digital products.

• Knowledge of Java, Scala, or technologies related to distributed systems.

• Experience in ML system design, architecture, or technical solution design for Machine Learning.

• Experience working with MLOps teams or participating in the deployment and maintenance of models.

🏝️ Benefits

• Remote work model from anywhere in Europe (with quarterly visits to Barcelona).

• Flexible hours with a focus on work-life balance.

• Restaurant tickets and private health insurance from day one.

• Company-sponsored LinkedIn Learning and AWS / Cloud Guru certifications.

• Access to a gym included.

• Annual salary review linked to your development.

• 23 days of vacation plus 1 extra day in December.

• 2 weeks per year of work from anywhere outside your usual location.

• Annual team-building events and integration activities.

• High-caliber international projects with real visibility of your achievements.

• Startup environment: dynamic, close-knit, flexible, with room for growth and personal idea contributions.

• Continuous learning with access to pioneering technologies and methodologies.

• Participate in the best growth phase of a leading tech company.