Machine Learning Engineer

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. This will implicitly change how MidCore manages its games in perpetuity. 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, 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.

Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond.

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.

Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.

For more information on Scopely, visit: scopely.com

Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment.All official Scopely, Inc. recruiters only use email domains that end with @scopely.com.

Our official website is www.scopely.com. Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain.

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