Senior ML Engineer - Applied ML & Research Leader

Super Technologies; España; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Descripción de la vacante

Super is hiring a Staff Machine Learning Engineer in the Applied ML & Research team to drive scalable ML solutions powering features across our gaming platforms. You will own from data exploration to deployment, mentor engineers, and influence ML roadmap through collaboration with stakeholders.

Candidates should have a Masters, 7+ years of experience, and strong Python tooling ( PyTorch, XGBoost, Scikit‑Learn ) plus experience with Airflow or SageMaker Pipelines.

Formación

• Identify high‑impact ML opportunities and influence prioritisation
• Design and develop scalable ML models and feature engineering pipelines
• Own the full ML lifecycle from data exploration to deployment
• Translate complex ML concepts for diverse stakeholders
• Set and guide technical direction across ML projects
• Mentor junior engineers and foster knowledge sharing

Responsabilidades

• Identify high‑impact ML opportunities and influence stakeholders to prioritise and support these initiatives
• Design and develop scalable machine learning models — including classifiers, regressors, and rule‑based systems — to solve real‑world problems
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment
• Translate complex technical concepts into clear insights for both technical and non‑technical stakeholders
• Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement

Conocimientos

Cross-functional leadership

Mentoring

Problem solving

Communication

Educación

Master’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or related field

Herramientas

Python

PyTorch

XGBoost

Scikit-learn

Airflow

SageMaker Pipelines

MLflow

ZenML

Metaflow

Kafka

AWS (EC2, EKS)

Descripción del empleo

Super is hiring a Staff Machine Learning Engineer in the Applied ML & Research team to drive scalable ML solutions powering features across our gaming platforms. You will own from data exploration to deployment, mentor engineers, and influence ML roadmap through collaboration with stakeholders.

Candidates should have a Masters, 7+ years of experience, and strong Python tooling ( PyTorch, XGBoost, Scikit‑Learn ) plus experience with Airflow or SageMaker Pipelines.