Senior Machine Learning Engineer - Live Services, Madrid

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Location:

Madrid, Spain

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

06.03.2025

Expiry Date:

20.04.2025

Job Description:

Description

Scopely is looking for a Senior Machine Learning Engineer to join our Live Services team in Spain on a remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people worldwide daily.

Scopely's Midcore Division operates the award-winning and industry-leading Star Trek Fleet Command, Marvel Strike Force, and WWE Champions games. We're moving cross-platform and have two exciting and ambitious games in development to further strengthen our position and reputation within the industry.

What You Will Do

• Join the Live Services team at Scopely, responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making.
• Contribute to technical plans, discussing areas of opportunity and requirements with stakeholders.
• Define the team’s roadmap and vision for ML within the Mid-Core division.
• Serve as a role model for less experienced team members.
• Validate data science prototypes with stakeholders and transform them into production-usable ML models.
• Build and maintain cloud-native infrastructure for hyperscale ML models training and serving.
• Work with other developers to implement tools to empower our Live Operators and Game Design teams to create new and exciting game-play experiences.
• Support and troubleshoot LiveOps Automation toolsuite.

What We’re Looking For

• A deep understanding of ML technologies development and best practices.
• Highly experienced in delivering production quality, highly performant ML platforms.
• Experience with machine learning frameworks (PyTorch, MXNet, TensorFlow) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving).
• Strong coding ability and experience in development in at least one mainstream programming language (Python, Java, C++) and with at least one major public cloud provider (AWS / Azure / GCP).
• Experience writing and maintaining automated unit, integration, and end-to-end tests.

Bonus Points

• Experience building, managing, and maintaining MLOps platforms.
• Experience in at least one of the following: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse.
• Experience building recommendation systems.
• You’ve mentored less experienced team members.