Applied ML Engineer for Gaming & Fan Experience

Super Technologies; España; Presencial; EUR 60.000 - 90.000; 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 seeks a Machine Learning Engineer in the Applied ML & Research team to drive ML solutions powering its online gaming platforms. You will impact security, user experience, and data-driven decisions for hundreds of thousands of users daily.

You will write quality code, collaborate across teams, and shape the ML roadmap. You will partner with product and engineering to deploy robust ML systems, iterate on models, and ensure reliable training and deployment pipelines while maintaining best

Formación

• Bachelor’s degree in ML, DS, statistics, math, CS or related field.
• 2+ years of industry experience building and deploying ML systems.
• Proficient in Python; familiar with PyTorch and SQL.
• Experience with LLMs and emerging ML technologies.
• Able to write maintainable, tested code and participate in reviews.

Responsabilidades

• Partner with product and engineering to identify ML use cases.
• Design, build, and iterate ML solutions (classifiers, regressors, ranking, rule-based components).
• Contribute to data exploration, feature engineering, training, evaluation, deployment, and monitoring.
• Implement reliable training/inference pipelines and improve reproducibility and observability.
• Communicate model behaviour and trade-offs to technical and non-technical stakeholders.
• Contribute to team standards: code quality, documentation, experimentation hygiene.

Conocimientos

Python

ML libraries

SQL

LLMs

Educación

Bachelor’s in ML/DS/Statistics/Math/CS

Herramientas

MLflow

ZenML

Descripción del empleo

Super seeks a Machine Learning Engineer in the Applied ML & Research team to drive ML solutions powering its online gaming platforms. You will impact security, user experience, and data-driven decisions for hundreds of thousands of users daily.

You will write quality code, collaborate across teams, and shape the ML roadmap. You will partner with product and engineering to deploy robust ML systems, iterate on models, and ensure reliable training and deployment pipelines while maintaining best