Senior Machine Learning Engineer

Role Summary

This is a remote job position.

Are you motivated to work in Machine Learning applied to a real product, with a direct impact on business and in a high-scale technological environment?

This opportunity is for an international company in the AdTech sector, specialized in programmatic advertising and in the development of its own platform to optimize digital campaigns through data, recommendation models and performance analysis.

As a Senior Machine Learning Engineer, you will work on the development, maintenance and optimization of the recommendation engine that helps decide which advertising creatives work best depending on the client, campaign, audience and context. It will be a hands-on position, with data analysis, model development and close collaboration with the creative team.

Responsibilities

• Develop, maintain and optimize Machine Learning models applied to advertising creative selection and recommendation systems.
• Work on the recommendation engine to identify which ads work best according to client, campaign, audience and context.
• Analyze performance data to detect patterns, opportunities for improvement and new modeling hypotheses.
• Propose, validate and implement new approaches that improve decision making within the platform.
• Participate in the complete life cycle of the model: analysis, feature engineering, training, deploy, 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 team to bring models to production in a robust, scalable and maintainable way.

Profile requirements

• 5+ years of experience in Machine Learning, Applied Data Science or Machine Learning Engineering positions.
• Solid knowledge of Machine Learning and Deep Learning algorithms.
• Proficiency in Python, SQL, statistics and ML frameworks/libraries.
• Experience or strong interest in Recommender Systems, ranking, personalization or optimization.
• Ability to work on large volumes of data and solve complex challenges.
• Analytical, proactive and product-oriented mentality.
• Skills to communicate, work as a team and adapt to a constantly changing environment.
• Fluent English level.

It will be valued positively

• Previous experience in AdTech, programmatic advertising, DSPs or Real Time Bidding.
• 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 design of Machine Learning solutions.
• Experience working with MLOps teams or participating in model deployment and maintenance.

Benefits

• Remote work model from anywhere in Europe (with quarterly visits to Barcelona).
• Flexible hours and focus on work-life balance.
• Restaurant ticket and private medical insurance from the first day.
• LinkedIn Learning and company-paid AWS/Cloud Guru certifications.
• Gym access included.
• Annual salary review linked to your evolution.
• 23 days of vacation + 1 extra day in December.
• 2 weeks/year of work from anywhere from outside your usual location.
• Annual Team Buildings and integration activities.
• Projects of high international caliber and real visibility of your achievements.
• Start-up environment: dynamic, close, flexible, with room to grow and contribute your own ideas.
• Continuous learning with access to pioneering technologies and methodologies.
• Participate in the best moment of growth of a leading technology company.
• Ready to make your mark in the world of Machine Learning? If you are looking for the definitive jump, we want to surprise you. Dare to take the step and sign up now.