Engineering Manager - Machine Learning at Happening

At Happening, we serve as the primary technology engine for the Superbet Group, creating global platforms that bring excitement to millions of users every day. We are actively challenging industry norms by developing our own end-to-end technology stack, which allows us to solve intricate problems at a scale that rivals major tech companies. Our mission is to move beyond legacy perceptions in the sports betting and gaming industry by fostering a culture built specifically for the tech community, where innovation and customer obsession drive every decision we make.

The role

We are seeking a hands-on Engineering Manager to lead our Applied Machine Learning & Research team. This is a full-time, on-site position based in Spain. In this role, you will balance technical contributions with project coordination and people management. You will stay close to the code while ensuring your team has the support and direction needed to succeed in building systems that revolutionize the online gambling experience.

Core responsibilities

• Technical Leadership: Design, build, and deploy sophisticated machine learning models while maintaining high standards through code reviews and the implementation of industry best practices.
• Project Strategy: Prioritize and manage machine learning initiatives to ensure they align with our broader business goals, coordinating across functions to integrate models into our production environment.
• Team Development: Lead and mentor a team of 4 to 5 data scientists and ML engineers, overseeing their professional growth and fostering a collaborative, innovative environment.

Skills and experience

To be successful in this role, you should possess the following qualifications:

• A Master’s degree or Ph.D. in Computer Science, Data Science, Machine Learning, or a closely related field.
• At least 4 years of professional experience in data science and machine learning roles.
• A minimum of 2 years of experience in a leadership or management capacity, with a track record of supporting engineer performance.
• Strong proficiency in Python and hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
• Practical knowledge of cloud platforms, specifically AWS, and containerization tools such as Docker and Kubernetes.
• Excellent communication skills and the ability to work effectively both independently and as part of a team.

We also value candidates who have experience in the gaming industry, contributions to open-source projects, or experience fine-tuning large-scale foundation models.

Compensation and benefits

We are committed to building a world-class team and fostering an environment where our engineers can thrive. While we do not have specific salary figures to disclose at this time, we offer a unique opportunity to work on high-scale systems that directly impact the future of the global gaming industry.

How to apply

If you are passionate about applying machine learning to solve complex challenges and want to help us shape the future of our technology platform, we would love to hear from you. Please submit your application to be considered for this position.