Description
Scopely is looking for a Machine Learning Engineer to join our LiveOps Automation team in Spain, UK, Ireland or Portugal 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
You will focus on unleashing ML capabilities for LiveOps teams that work on different gaming platforms.
The day-to-day activities will involve designing, developing, and researching ML systems, models, and schemes, contributing to technical plans, and discussing the workflows and requirements with stakeholders.
We are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making.
Apply advanced statistical / ML methods to large, complex data sets.
Transform data science prototypes into production-usable ML models while ensuring ML models remain performant over time.
Build and maintain cloud-native infrastructure for hyper scale ML models 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 and LiveOps Automation tool suite support & troubleshooting.
Contribute to technical plans and discuss the workflows and requirements with stakeholders.
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) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving).
Very 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.
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