About the RoleWe’re looking for a hands‑on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine‑learning systems at Super Technologies. The team harnesses data to revolutionize the online gambling and sports‑betting experience, transforming complex data into actionable insights that enhance customer engagement, trust, and satisfaction. In this role you will split your time between technical contribution, project coordination, and people management – helping your team succeed while staying close to the code.QualificationsMaster’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related fieldProven experience (4 + years) in machine‑learning and data‑science rolesProven experience (5 + years) in leading or managing engineering teams, supporting the growth and performance of engineersStrong programming skills in Python and experience with deep‑learning frameworks such as TensorFlow, PyTorch, or JAXExperience with cloud computing platforms primarily AWS and containerisation technologies (e.G., Docker, Kubernetes)Excellent problem‑solving skills and the ability to work independently and collaborativelyStrong communication and interpersonal skillsPreferred QualificationsExperience in the gaming or entertainment industryExperience with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow,



etc.Contributions to open‑source AI/ML projects or participation in AI/ML competitions (e.G., Kaggle)Experience with training and fine‑tuning large‑scale foundation models (e.G., GPT, BERT, T5) for various tasksPublications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLRResponsibilitiesTechnical ExpertiseDesign, develop, and deploy advanced machine‑learning models to solve complex business problemsStay updated with the latest trends and advancements in machine‑learning and AI technologiesConduct code reviews and ensure best practices in model development and deploymentProject ManagementManage and prioritise machine‑learning projects to align with business goals and objectivesEnsure timely delivery of high‑quality machine‑learning solutionsCoordinate with cross‑functional teams to integrate machine‑learning models into production systemsPeople ManagementLead and mentor a team of 4‑5 data scientists and ML engineers, providing guidance and support in their day‑to‑day activitiesOversee the execution, development, growth, and performance of the ML teamFoster a collaborative and innovative team environment while building strong partnerships with product management and stakeholdersEqual Opportunity & DiversityWe hire and grow talent based on ability and potential, regardless of background and identity because we believe diverse perspectives drive better performance.#J-18808-Ljbffr

📌 Senior Engineering Manager - Machine Learning (Madrid)
🏢 Super
📍 Madrid