Senior Machine Learning Engineer- LiveOps Automation
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.
The LiveOps Automation team are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) for enhancing player experience within Midcore games. This initiative will implicitly change how Midcore manages its games in perpetuity.
What You Will Do
You’ll be joining the LiveOps Automation team at Scopely. We are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making. This will change how Midcore manages its games in the future. We are looking for a creative and highly motivated Senior ML Engineer to join the Scopely LiveOps Automation Team. This role will focus on unleashing ML capabilities for LiveOps teams that work on different gaming platforms.
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.
Building and maintaining 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.
LiveOps Automation toolsuite support & troubleshooting.
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 the job
Apply for this position
Senior Machine Learning Engineer- LiveOps Automation
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.
The LiveOps Automation team are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) for enhancing player experience within Midcore games. This initiative will implicitly change how Midcore manages its games in perpetuity.
What You Will Do
You’ll be joining the LiveOps Automation team at Scopely. We are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making. This will change how Midcore manages its games in the future. We are looking for a creative and highly motivated Senior ML Engineer to join the Scopely LiveOps Automation Team. This role will focus on unleashing ML capabilities for LiveOps teams that work on different gaming platforms.
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.
Building and maintaining 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.
LiveOps Automation toolsuite support & troubleshooting.
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