MACHINE LEARNING ENGINEER - LIVEOPS AUTOMATION TEAM

Scopely is looking for a Machine Learning Engineer to join our LiveOps Automation team within our Midcore division on a hybrid/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 around the world daily.
You'll be joining the LiveOps Automation team at Scopely, where we are shaping the next generation of game operations tools that utilize Machine Learning and AI to empower scalability, personalization, and efficiency through data-driven systems.
Our mission is to unlock smarter, faster, and more impactful ways for game teams to manage LiveOps strategies.
This role is pivotal in helping to define the future of Scopely's game operations.
What You Will Do We seek a creative and highly motivated 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.
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.
Apply advanced statistical / ML methods to large, complex data sets.
Transform data science prototypes into production-usable ML models.
Ensure ML models remain performant over time.
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.
Contributing to technical plans and discussing the workflows and requirements with stakeholders.
What We're Looking For A deep understanding of ML technologies development and best practices.
3+ years experience 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.).
Strong knowledge of Python.
Experience with at least one major public cloud provider (AWS / Azure / GCP).
Experience writing and maintaining automated unit, integration, and end-to-end tests.
You're a great tech communicator who knows how to share knowledge with non-technical people.
You desire to seek out and take on user feedback to drive world-class application development.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect.
We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! 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 , 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 for $4.
billion, and is now an independent subsidiary of Savvy.
For more information on Scopely, visit.
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