Scopely is looking for a Senior Machine Learning Engineer to join our LiveOps Automation team in Spain on a hybrid or 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
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.
Provide support & troubleshooting for LiveOps Automation toolsuite.
What We're Looking For
A deep understanding of ML technologies development and best practices.
Highly experienced delivering production quality, highly performant ML platforms.
Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving, etc.).
Very strong coding ability, and experience in development in at least one mainstream programming language (Python, Java, C++ etc.) 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.
About Us
Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!", "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others.
Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform, Playgami, that supports one of the most diversified portfolios in the games industry.
Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.
For more information on Scopely, visit: scopely.com
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